(function () {
    'use strict';
	var app = angular.module('app');
    
    app.service('DashboardService', DashboardService);

    DashboardService.$inject = ['$http', '$q', 'APP_CONST','$ocLazyLoad', '$rootScope', '$location'];
    function DashboardService($http, $q, APP_CONST, $ocLazyLoad, $rootScope, $location) {

		this.flexLayout = function(){
			$('.datalayout').parent().css({
                'height':$(window).height()-101,
                'overflow':'hidden'
            });
            $('.datalayout').css('transform','scale('+($('.datalayout').parent().outerWidth(true))/1920+', '+($(window).height()-101)/1080+')');
		}

		this.getFlag = function(){
			//获取url
			var reg = /\b\w+$/g;
			var _url = $location.$$url.match(reg)[0];

			return _url;
		}

		//根据url匹配决定渲染哪些图表
		var dashboardList = {
			dashboard:[],
			dashboard_vechicle:[],
			dashboard_goods:[]
		};
		function chooseRenderDashboard(flag){
			var copyarr = [];
			$.extend(true,copyarr,dashboardList[flag]);
			return copyarr;
		}

		var that = this;
		//chartList对象保存了图表的实例
		this.chartList = {
		flag:false,
		cache:[],
		instance:[],
		render:function(flag, callback){
			console.log(dashboardList);
			that.chartList.instance = chooseRenderDashboard(flag);
			var self = this;
			if(that.chartList.instance && that.chartList.instance.length > 0){
				var arr = [];
				var timer;
				clearTimeout(timer);
				for(var i=0;i<that.chartList.instance.length && typeof that.chartList.instance[i] == 'function';i++){
					(function(i){
						arr.push(i)
					})(i)
				}

				timer = setTimeout(function renderFn(){
					if(arr.length == 0){
						clearTimeout(timer);
						self.flag = true;
						callback && callback(self.cache);
						return;
					}
					try{
						that.chartList.instance[arr.shift()]();
					}catch(e){
						
					}
					setTimeout(renderFn,10);
				},10)
			}
		}
	};

	//第一屏图表-overview
    //db1-30日各地区危化品流量统计_总览
	function mapView(){
		scatter1('mapview');
	}
	
	function scatter1(id){
		var data = [
		     {name: '海门', value: 9},
		     {name: '鄂尔多斯', value: 12},
		     {name: '招远', value: 12},
		     {name: '舟山', value: 12},
		     {name: '齐齐哈尔', value: 14},
		     {name: '盐城', value: 15},
		     {name: '赤峰', value: 16},
		     {name: '青岛', value: 18},
		     {name: '乳山', value: 18},
		     {name: '金昌', value: 19},
		     {name: '泉州', value: 21},
		     {name: '莱西', value: 21},
		     {name: '日照', value: 21},
		     {name: '胶南', value: 22},
		     {name: '南通', value: 23},
		     {name: '拉萨', value: 24},
		     {name: '云浮', value: 24},
		     {name: '梅州', value: 25},
		     {name: '文登', value: 25},
		     {name: '上海', value: 25},
		     {name: '攀枝花', value: 25},
		     {name: '威海', value: 25},
		     {name: '承德', value: 25},
		     {name: '厦门', value: 26},
		     {name: '汕尾', value: 26},
		     {name: '潮州', value: 26},
		     {name: '丹东', value: 27},
		     {name: '太仓', value: 27},
		     {name: '曲靖', value: 27},
		     {name: '烟台', value: 28},
		     {name: '福州', value: 29},
		     {name: '瓦房店', value: 30},
		     {name: '即墨', value: 30},
		     {name: '抚顺', value: 31},
		     {name: '玉溪', value: 31},
		     {name: '张家口', value: 31},
		     {name: '阳泉', value: 31},
		     {name: '莱州', value: 32},
		     {name: '湖州', value: 32},
		     {name: '汕头', value: 32},
		     {name: '昆山', value: 33},
		     {name: '宁波', value: 33},
		     {name: '湛江', value: 33},
		     {name: '揭阳', value: 34},
		     {name: '荣成', value: 34},
		     {name: '连云港', value: 35},
		     {name: '葫芦岛', value: 35},
		     {name: '常熟', value: 36},
		     {name: '东莞', value: 36},
		     {name: '河源', value: 36},
		     {name: '淮安', value: 36},
		     {name: '泰州', value: 36},
		     {name: '南宁', value: 37},
		     {name: '营口', value: 37},
		     {name: '惠州', value: 37},
		     {name: '江阴', value: 37},
		     {name: '蓬莱', value: 37},
		     {name: '韶关', value: 38},
		     {name: '嘉峪关', value: 38},
		     {name: '广州', value: 38},
		     {name: '延安', value: 38},
		     {name: '太原', value: 39},
		     {name: '清远', value: 39},
		     {name: '中山', value: 39},
		     {name: '昆明', value: 39},
		     {name: '寿光', value: 40},
		     {name: '盘锦', value: 40},
		     {name: '长治', value: 41},
		     {name: '深圳', value: 41},
		     {name: '珠海', value: 42},
		     {name: '宿迁', value: 43},
		     {name: '咸阳', value: 43},
		     {name: '铜川', value: 44},
		     {name: '平度', value: 44},
		     {name: '佛山', value: 44},
		     {name: '海口', value: 44},
		     {name: '江门', value: 45},
		     {name: '章丘', value: 45},
		     {name: '肇庆', value: 46},
		     {name: '大连', value: 47},
		     {name: '临汾', value: 47},
		     {name: '吴江', value: 47},
		     {name: '石嘴山', value: 49},
		     {name: '沈阳', value: 50},
		     {name: '苏州', value: 50},
		     {name: '茂名', value: 50},
		     {name: '嘉兴', value: 51},
		     {name: '长春', value: 51},
		     {name: '胶州', value: 52},
		     {name: '银川', value: 52},
		     {name: '张家港', value: 52},
		     {name: '三门峡', value: 53},
		     {name: '锦州', value: 54},
		     {name: '南昌', value: 54},
		     {name: '柳州', value: 54},
		     {name: '三亚', value: 54},
		     {name: '自贡', value: 56},
		     {name: '吉林', value: 56},
		     {name: '阳江', value: 57},
		     {name: '泸州', value: 57},
		     {name: '西宁', value: 57},
		     {name: '宜宾', value: 58},
		     {name: '呼和浩特', value: 58},
		     {name: '成都', value: 58},
		     {name: '大同', value: 58},
		     {name: '镇江', value: 59},
		     {name: '桂林', value: 59},
		     {name: '张家界', value: 59},
		     {name: '宜兴', value: 59},
		     {name: '北海', value: 60},
		     {name: '西安', value: 61},
		     {name: '金坛', value: 62},
		     {name: '东营', value: 62},
		     {name: '牡丹江', value: 63},
		     {name: '遵义', value: 63},
		     {name: '绍兴', value: 63},
		     {name: '扬州', value: 64},
		     {name: '常州', value: 64},
		     {name: '潍坊', value: 65},
		     {name: '重庆', value: 66},
		     {name: '台州', value: 67},
		     {name: '南京', value: 67},
		     {name: '滨州', value: 70},
		     {name: '贵阳', value: 71},
		     {name: '无锡', value: 71},
		     {name: '本溪', value: 71},
		     {name: '克拉玛依', value: 72},
		     {name: '渭南', value: 72},
		     {name: '马鞍山', value: 72},
		     {name: '宝鸡', value: 72},
		     {name: '焦作', value: 75},
		     {name: '句容', value: 75},
		     {name: '北京', value: 79},
		     {name: '徐州', value: 79},
		     {name: '衡水', value: 80},
		     {name: '包头', value: 80},
		     {name: '绵阳', value: 80},
		     {name: '乌鲁木齐', value: 84},
		     {name: '枣庄', value: 84},
		     {name: '杭州', value: 84},
		     {name: '淄博', value: 85},
		     {name: '鞍山', value: 86},
		     {name: '溧阳', value: 86},
		     {name: '库尔勒', value: 86},
		     {name: '安阳', value: 90},
		     {name: '开封', value: 90},
		     {name: '济南', value: 92},
		     {name: '德阳', value: 93},
		     {name: '温州', value: 95},
		     {name: '九江', value: 96},
		     {name: '邯郸', value: 98},
		     {name: '临安', value: 99},
		     {name: '兰州', value: 99},
		     {name: '沧州', value: 100},
		     {name: '临沂', value: 103},
		     {name: '南充', value: 104},
		     {name: '天津', value: 105},
		     {name: '富阳', value: 106},
		     {name: '泰安', value: 112},
		     {name: '诸暨', value: 112},
		     {name: '郑州', value: 113},
		     {name: '哈尔滨', value: 114},
		     {name: '聊城', value: 116},
		     {name: '芜湖', value: 117},
		     {name: '唐山', value: 119},
		     {name: '平顶山', value: 119},
		     {name: '邢台', value: 119},
		     {name: '德州', value: 120},
		     {name: '济宁', value: 120},
		     {name: '荆州', value: 127},
		     {name: '宜昌', value: 130},
		     {name: '义乌', value: 132},
		     {name: '丽水', value: 133},
		     {name: '洛阳', value: 134},
		     {name: '秦皇岛', value: 136},
		     {name: '株洲', value: 143},
		     {name: '石家庄', value: 147},
		     {name: '莱芜', value: 148},
		     {name: '常德', value: 152},
		     {name: '保定', value: 153},
		     {name: '湘潭', value: 154},
		     {name: '金华', value: 157},
		     {name: '岳阳', value: 169},
		     {name: '长沙', value: 175},
		     {name: '衢州', value: 177},
		     {name: '廊坊', value: 193},
		     {name: '菏泽', value: 194},
		     {name: '合肥', value: 229},
		     {name: '武汉', value: 273},
		     {name: '大庆', value: 279}
		];
		var geoCoordMap = 
			{
				"北京":[116.405285,39.904989],
				"上海":[121.472644,31.231706],
				"重庆":[106.504962,29.533155],
				"天津":[117.190182,39.125596],
				"石家庄": [114.502461, 38.045474],
				"秦皇岛": [119.586579, 39.942531],
				"邢台": [114.508851, 37.0682],
				"邯郸": [114.490686, 36.612273],
				"沧州": [116.857461, 38.310582],
				"廊坊": [116.704441, 39.523927],
				"承德": [117.939152, 40.976204],
				"衡水": [115.665993, 37.735097],
				"唐山": [118.175393, 39.635113],
				"张家口": [114.884091, 40.811901],
				"保定": [115.482331, 38.867657],
				"东城区": [116.418757, 39.917544],
				"西城区": [116.366794, 39.915309],
				"丰台区": [116.286968, 39.863642],
				"石景山区": [116.195445, 39.914601],
				"海淀区": [116.310316, 39.956074],
				"门头沟区": [116.105381, 39.937183],
				"房山区": [116.139157, 39.735535],
				"顺义区": [116.653525, 40.128936],
				"通州区": [116.658603, 39.902486],
				"大兴区": [116.338033, 39.728908],
				"昌平区": [116.235906, 40.218085],
				"平谷区": [117.112335, 40.144783],
				"朝阳区": [116.486409, 39.921489],
				"怀柔区": [116.637122, 40.324272],
				"密云区": [116.843352, 40.377362],
				"延庆区": [115.985006, 40.465325],
				"太原": [112.549248, 37.857014],
				"阳泉": [113.583285, 37.861188],
				"晋城": [112.851274, 35.497553],
				"朔州": [112.433387, 39.331261],
				"长治": [113.113556, 36.191112],
				"晋中": [112.736465, 37.696495],
				"运城": [111.003957, 35.022778],
				"忻州": [112.733538, 38.41769],
				"临汾": [111.517973, 36.08415],
				"吕梁": [111.134335, 37.524366],
				"大同": [113.295259, 40.09031],
				"南通": [120.864608, 32.016212],
				"徐州": [117.184811, 34.261792],
				"南京": [118.767413, 32.041544],
				"连云港": [119.178821, 34.600018],
				"扬州": [119.421003, 32.393159],
				"常州": [119.946973, 31.772752],
				"无锡": [120.301663, 31.574729],
				"泰州": [119.915176, 32.484882],
				"镇江": [119.452753, 32.204402],
				"苏州": [120.619585, 31.299379],
				"盐城": [120.139998, 33.377631],
				"淮安": [119.021265, 33.597506],
				"宿迁": [118.275162, 33.963008],
				"杭州": [120.153576, 30.287459],
				"嘉兴": [120.750865, 30.762653],
				"湖州": [120.102398, 30.867198],
				"金华": [119.649506, 29.089524],
				"衢州": [118.87263, 28.941708],
				"舟山": [122.106863, 30.016028],
				"宁波": [121.549792, 29.868388],
				"绍兴": [120.582112, 29.997117],
				"台州": [121.428599, 28.661378],
				"温州": [120.672111, 28.000575],
				"丽水": [119.921786, 28.451993],
				"芜湖": [118.376451, 31.326319],
				"合肥": [117.283042, 31.86119],
				"蚌埠": [117.363228, 32.939667],
				"淮南": [117.018329, 32.647574],
				"马鞍山": [118.507906, 31.689362],
				"淮北": [116.794664, 33.971707],
				"铜陵": [117.816576, 30.929935],
				"安庆": [117.043551, 30.50883],
				"黄山": [118.317325, 29.709239],
				"阜阳": [115.819729, 32.896969],
				"宿州": [116.984084, 33.633891],
				"滁州": [118.316264, 32.303627],
				"六安": [116.507676, 31.752889],
				"池州": [117.489157, 30.656037],
				"亳州": [115.782939, 33.869338],
				"宣城": [118.757995, 30.945667],
				"乌海": [106.825563, 39.673734],
				"包头": [109.840405, 40.658168],
				"通辽": [122.263119, 43.617429],
				"赤峰": [118.956806, 42.275317],
				"乌兰察布": [113.114543, 41.034126],
				"呼和浩特": [111.670801, 40.818311],
				"巴彦淖尔": [107.416959, 40.757402],
				"呼伦贝尔": [119.758168, 49.215333],
				"阿拉善盟": [105.706422, 38.844814],
				"锡林郭勒盟": [116.090996, 43.944018],
				"鄂尔多斯": [109.99029, 39.817179],
				"兴安盟": [122.070317, 46.076268],
				"鞍山": [122.995632, 41.110626],
				"本溪": [123.770519, 41.297909],
				"丹东": [124.383044, 40.124296],
				"锦州": [121.135742, 41.119269],
				"营口": [122.235151, 40.667432],
				"阜新": [121.648962, 42.011796],
				"盘锦": [122.06957, 41.124484],
				"抚顺": [123.921109, 41.875956],
				"辽阳": [123.18152, 41.269402],
				"葫芦岛": [120.856394, 40.755572],
				"铁岭": [123.844279, 42.290585],
				"大连": [121.618622, 38.91459],
				"朝阳": [120.451176, 41.576758],
				"沈阳": [123.429096, 41.796767],
				"长春": [125.3245, 43.886841],
				"四平": [124.370785, 43.170344],
				"松原": [124.823608, 45.118243],
				"吉林": [126.55302, 43.843577],
				"白城": [122.841114, 45.619026],
				"通化": [125.936501, 41.721177],
				"白山": [126.427839, 41.942505],
				"辽源": [125.145349, 42.902692],
				"延边朝鲜族自治州": [129.513228, 42.904823],
				"大庆": [125.11272, 46.590734],
				"双鸭山": [131.157304, 46.643442],
				"齐齐哈尔": [123.95792, 47.342081],
				"伊春": [128.899396, 47.724775],
				"鹤岗": [130.277487, 47.332085],
				"七台河": [131.015584, 45.771266],
				"黑河": [127.499023, 50.249585],
				"佳木斯": [130.361634, 46.809606],
				"绥化": [126.99293, 46.637393],
				"哈尔滨": [126.642464, 45.756967],
				"大兴安岭地区": [124.711526, 52.335262],
				"鸡西": [130.975966, 45.300046],
				"牡丹江": [129.618602, 44.582962],
				"厦门": [118.11022, 24.490474],
				"莆田": [119.007558, 25.431011],
				"漳州": [117.661801, 24.510897],
				"泉州": [118.589421, 24.908853],
				"南平": [118.178459, 26.635627],
				"宁德": [119.527082, 26.65924],
				"三明": [117.635001, 26.265444],
				"福州": [119.306239, 26.075302],
				"龙岩": [117.02978, 25.091603],
				"景德镇": [117.214664, 29.29256],
				"鹰潭": [117.033838, 28.238638],
				"南昌": [115.892151, 28.676493],
				"吉安": [114.986373, 27.111699],
				"赣州": [114.940278, 25.85097],
				"宜春": [114.391136, 27.8043],
				"萍乡": [113.852186, 27.622946],
				"新余": [114.930835, 27.810834],
				"抚州": [116.358351, 27.98385],
				"上饶": [117.971185, 28.44442],
				"九江": [115.992811, 29.712034],
				"淄博": [118.047648, 36.814939],
				"青岛": [120.355173, 36.082982],
				"枣庄": [117.557964, 34.856424],
				"东营": [118.66471, 37.434564],
				"潍坊": [119.107078, 36.70925],
				"济南": [117.000923, 36.675807],
				"济宁": [116.587245, 35.415393],
				"烟台": [121.391382, 37.539297],
				"泰安": [117.129063, 36.194968],
				"莱芜": [117.677736, 36.214397],
				"日照": [119.461208, 35.428588],
				"威海": [122.116394, 37.509691],
				"聊城": [115.980367, 36.456013],
				"滨州": [118.016974, 37.383542],
				"临沂": [118.326443, 35.065282],
				"菏泽": [115.469381, 35.246531],
				"德州": [116.307428, 37.453968],
				"洛阳": [112.434468, 34.663041],
				"开封": [114.341447, 34.797049],
				"平顶山": [113.307718, 33.735241],
				"鹤壁": [114.295444, 35.748236],
				"安阳": [114.352482, 36.103442],
				"焦作": [113.238266, 35.23904],
				"濮阳": [115.041299, 35.768234],
				"许昌": [113.826063, 34.022956],
				"漯河": [114.026405, 33.575855],
				"郑州": [113.665412, 34.757975],
				"三门峡": [111.194099, 34.777338],
				"商丘": [115.650497, 34.437054],
				"信阳": [114.075031, 32.123274],
				"周口": [114.649653, 33.620357],
				"驻马店": [114.024736, 32.980169],
				"济源": [112.590047, 35.090378],
				"南阳": [112.540918, 32.999082],
				"新乡": [113.883991, 35.302616],
				"黄石": [115.077048, 30.220074],
				"武汉": [114.298572, 30.584355],
				"襄阳": [112.144146, 32.042426],
				"鄂州": [114.890593, 30.396536],
				"孝感": [113.926655, 30.926423],
				"荆州": [112.23813, 30.326857],
				"咸宁": [114.328963, 29.832798],
				"黄冈": [114.879365, 30.447711],
				"十堰": [110.787916, 32.646907],
				"宜昌": [111.290843, 30.702636],
				"随州": [113.37377, 31.717497],
				"荆门": [112.204251, 31.03542],
				"仙桃": [113.453974, 30.364953],
				"潜江": [112.896866, 30.421215],
				"天门": [113.165862, 30.653061],
				"神农架林区": [110.671525, 31.744449],
				"恩施土家族苗族自治州": [109.48699, 30.283114],
				"长沙": [112.982279, 28.19409],
				"衡阳": [112.607693, 26.900358],
				"邵阳": [111.46923, 27.237842],
				"湘潭": [112.944052, 27.82973],
				"张家界": [110.479921, 29.127401],
				"岳阳": [113.132855, 29.37029],
				"益阳": [112.355042, 28.570066],
				"株洲": [113.151737, 27.835806],
				"郴州": [113.032067, 25.793589],
				"永州": [111.608019, 26.434516],
				"娄底": [112.008497, 27.728136],
				"怀化": [109.97824, 27.550082],
				"常德": [111.691347, 29.040225],
				"湘西土家族苗族自治州": [109.739735, 28.314296],
				"韶关": [113.591544, 24.801322],
				"汕头": [116.708463, 23.37102],
				"佛山": [113.122717, 23.028762],
				"江门": [113.094942, 22.590431],
				"广州": [113.280637, 23.125178],
				"茂名": [110.919229, 21.659751],
				"深圳": [114.085947, 22.547],
				"惠州": [114.412599, 23.079404],
				"肇庆": [112.472529, 23.051546],
				"湛江": [110.364977, 21.274898],
				"珠海": [113.553986, 22.224979],
				"清远": [113.051227, 23.685022],
				"汕尾": [115.364238, 22.774485],
				"中山": [113.382391, 22.521113],
				"河源": [114.697802, 23.746266],
				"梅州": [116.117582, 24.299112],
				"揭阳": [116.355733, 23.543778],
				"潮州": [116.632301, 23.661701],
				"东莞": [113.746262, 23.046237],
				"云浮": [112.044439, 22.929801],
				"阳江": [111.975107, 21.859222],
				"北海": [109.119254, 21.473343],
				"梧州": [111.297604, 23.474803],
				"防城港": [108.345478, 21.614631],
				"南宁": [108.320004, 22.82402],
				"贵港": [109.602146, 23.0936],
				"贺州": [111.552056, 24.414141],
				"百色": [106.616285, 23.897742],
				"玉林": [110.154393, 22.63136],
				"河池": [108.062105, 24.695899],
				"崇左": [107.353926, 22.404108],
				"桂林": [110.299121, 25.274215],
				"钦州": [108.624175, 21.967127],
				"来宾": [109.229772, 23.733766],
				"柳州": [109.411703, 24.314617],
				"海口": [110.33119, 20.031971],
				"儋州": [109.576782, 19.517486],
				"三亚": [109.508268, 18.247872],
				"三沙": [112.34882, 16.831039],
				"琼海": [110.466785, 19.246011],
				"万宁": [110.388793, 18.796216],
				"文昌": [110.753975, 19.612986],
				"东方": [108.653789, 19.10198],
				"定安县": [110.349235, 19.684966],
				"屯昌县": [110.102773, 19.362916],
				"澄迈县": [110.007147, 19.737095],
				"临高县": [109.687697, 19.908293],
				"五指山": [109.516662, 18.776921],
				"白沙黎族自治县": [109.452606, 19.224584],
				"昌江黎族自治县": [109.053351, 19.260968],
				"陵水黎族自治县": [110.037218, 18.505006],
				"乐东黎族自治县": [109.175444, 18.74758],
				"琼中黎族苗族自治县": [109.839996, 19.03557],
				"保亭黎族苗族自治县": [109.70245, 18.636371],
				"自贡": [104.773447, 29.352765],
				"攀枝花": [101.716007, 26.580446],
				"泸州": [105.443348, 28.889138],
				"德阳": [104.398651, 31.127991],
				"绵阳": [104.741722, 31.46402],
				"遂宁": [105.571331, 30.513311],
				"成都": [104.065735, 30.659462],
				"广元": [105.829757, 32.433668],
				"乐山": [103.761263, 29.582024],
				"雅安": [103.001033, 29.987722],
				"内江": [105.066138, 29.58708],
				"眉山": [103.831788, 30.048318],
				"南充": [106.082974, 30.795281],
				"宜宾": [104.630825, 28.760189],
				"阿坝藏族羌族自治州": [102.221374, 31.899792],
				"广安": [106.633369, 30.456398],
				"巴中": [106.753669, 31.858809],
				"甘孜藏族自治州": [101.963815, 30.050663],
				"达州": [107.502262, 31.209484],
				"资阳": [104.641917, 30.122211],
				"凉山彝族自治州": [102.258746, 27.886762],
				"六盘水": [104.846743, 26.584643],
				"贵阳": [106.713478, 26.578343],
				"安顺": [105.932188, 26.245544],
				"铜仁": [109.191555, 27.718346],
				"毕节": [105.28501, 27.301693],
				"遵义": [106.937265, 27.706626],
				"黔西南布依族苗族自治州": [104.897971, 25.08812],
				"黔南布依族苗族自治州": [107.517156, 26.258219],
				"黔东南苗族侗族自治州": [107.977488, 26.583352],
				"玉溪": [102.543907, 24.350461],
				"昭通": [103.717216, 27.336999],
				"保山": [99.167133, 25.111802],
				"普洱": [100.972344, 22.777321],
				"丽江": [100.233026, 26.872108],
				"昆明": [102.712251, 25.040609],
				"曲靖": [103.797851, 25.501557],
				"西双版纳傣族自治州": [100.797941, 22.001724],
				"大理白族自治州": [100.225668, 25.589449],
				"德宏傣族景颇族自治州": [98.578363, 24.436694],
				"临沧": [100.08697, 23.886567],
				"楚雄彝族自治州": [101.546046, 25.041988],
				"红河哈尼族彝族自治州": [103.384182, 23.366775],
				"怒江傈僳族自治州": [98.854304, 25.850949],
				"迪庆藏族自治州": [99.706463, 27.826853],
				"文山壮族苗族自治州": [104.24401, 23.36951],
				"铜川": [108.979608, 34.916582],
				"西安": [108.948024, 34.263161],
				"宝鸡": [107.14487, 34.369315],
				"咸阳": [108.705117, 34.333439],
				"渭南": [109.502882, 34.499381],
				"汉中": [107.028621, 33.077668],
				"榆林": [109.741193, 38.290162],
				"延安": [109.49081, 36.596537],
				"商洛": [109.939776, 33.868319],
				"安康": [109.029273, 32.6903],
				"拉萨": [91.132212, 29.660361],
				"山南": [91.766529, 29.236023],
				"那曲地区": [92.060214, 31.476004],
				"日喀则": [88.885148, 29.267519],
				"林芝": [94.362348, 29.654693],
				"阿里地区": [80.105498, 32.503187],
				"昌都": [97.178452, 31.136875],
				"嘉峪关": [98.277304, 39.786529],
				"金昌": [102.187888, 38.514238],
				"白银": [104.173606, 36.54568],
				"平凉": [106.684691, 35.54279],
				"兰州": [103.823557, 36.058039],
				"庆阳": [107.638372, 35.734218],
				"天水": [105.724998, 34.578529],
				"武威": [102.634697, 37.929996],
				"张掖": [100.455472, 38.932897],
				"陇南": [104.929379, 33.388598],
				"临夏回族自治州": [103.212006, 35.599446],
				"酒泉": [98.510795, 39.744023],
				"定西": [104.626294, 35.579578],
				"甘南藏族自治州": [102.911008, 34.986354],
				"西宁": [101.778916, 36.623178],
				"海东": [102.10327, 36.502916],
				"黄南藏族自治州": [102.019988, 35.517744],
				"果洛藏族自治州": [100.242143, 34.4736],
				"玉树藏族自治州": [97.008522, 33.004049],
				"海南藏族自治州": [100.619542, 36.280353],
				"海北藏族自治州": [100.901059, 36.959435],
				"海西蒙古族藏族自治州": [97.370785, 37.374663],
				"银川": [106.278179, 38.46637],
				"石嘴山": [106.376173, 39.01333],
				"吴忠": [106.199409, 37.986165],
				"固原": [106.285241, 36.004561],
				"中卫": [105.189568, 37.514951],
				"乌鲁木齐": [87.617733, 43.792818],
				"克拉玛依": [84.873946, 45.595886],
				"博尔塔拉蒙古自治州": [82.074778, 44.903258],
				"吐鲁番": [89.184078, 42.947613],
				"哈密": [93.51316, 42.833248],
				"阿克苏地区": [80.265068, 41.170712],
				"喀什地区": [75.989138, 39.467664],
				"和田地区": [79.92533, 37.110687],
				"昌吉回族自治州": [87.304012, 44.014577],
				"巴音郭楞蒙古自治州": [86.150969, 41.768552],
				"克孜勒苏柯尔克孜自治州": [76.172825, 39.713431],
				"石河子": [86.041075, 44.305886],
				"阿勒泰地区": [88.13963, 47.848393],
				"阿拉尔": [81.285884, 40.541914],
				"图木舒克": [79.077978, 39.867316],
				"五家渠": [87.526884, 44.167401],
				"塔城地区": [82.985732, 46.746301],
				"北屯": [87.824932, 47.353177],
				"铁门关": [85.501218, 41.827251],
				"双河": [82.353656, 44.840524],
				"伊犁哈萨克自治州": [81.317946, 43.92186],
				"可克达拉": [80.63579, 43.6832],
				"昆玉": [79.287372, 37.207994],
				"中西区": [114.154334, 22.281931],
				"湾仔区": [114.18299, 22.276345],
				"东区": [114.225965, 22.279779],
				"南区": [114.160023, 22.245811],
				"深水埗区": [114.163349, 22.333775],
				"九龙城区": [114.193047, 22.312373],
				"黄大仙区": [114.203985, 22.336112],
				"观塘区": [114.214083, 22.320679],
				"荃湾区": [114.121234, 22.368458],
				"屯门区": [113.976308, 22.393896],
				"元朗区": [114.032528, 22.44132],
				"北区": [114.147404, 22.496143],
				"大埔区": [114.171713, 22.44573],
				"西贡区": [114.264813, 22.314203],
				"沙田区": [114.195126, 22.379715],
				"葵青区": [114.13918, 22.363908],
				"离岛区": [113.946059, 22.286371],
				"油尖旺区": [114.173347, 22.311632],
				"花地玛堂区": [113.552965, 22.207882],
				"花王堂区": [113.549052, 22.199175],
				"望德堂区": [113.550252, 22.193791],
				"大堂区": [113.55374, 22.188119],
				"风顺堂区": [113.54167, 22.187778],
				"嘉模堂区": [113.558783, 22.154124],
				"路凼填海区": [113.56925, 22.136546],
				"圣方济各堂区": [113.559954, 22.124049],
				"台湾省":[121.509062,25.044332]
			};

var convertData = function (data) {
		var res = [];
		    for (var i = 0; i < data.length; i++) {
		        var geoCoord = geoCoordMap[data[i].name];
		        if (geoCoord) {
		            res.push({
		                name: data[i].name,
		                value: geoCoord.concat(data[i].value)
		            });
		        }
		    }
		    return res;
		};
		
		var option = {
		    tooltip : {
		        trigger: 'item'
		    },
/*		    legend: {
		        orient: 'vertical',
		        y: 'bottom',
		        x:'right',
		        data:['',''],
		        textStyle: {
		            color: '#fff'
		        }
		    },*/
		    geo: {
		        map: 'china',
		        zoom:1.4,
		        label: {
		            emphasis: {
		                show: false
		            }
		        },
		        roam: true,
		        itemStyle: {
		            normal: {
		                areaColor: '#0e1c68',
		                borderColor: '#111'
		            },
		            emphasis: {
		                areaColor: '#2a333d'
		            }
		        }
		    },
		    series : [
		        {
		            name: '30日危化品收发货地',
		            type: 'scatter',
		            coordinateSystem: 'geo',
		            data: convertData(data),
		            symbolSize: function (val) {
		                return val[2] / 10;
		            },
		            label: {
		                normal: {
		                    formatter: '{b}',
		                    position: 'right',
		                    show: false
		                },
		                emphasis: {
		                    show: true
		                }
		            },
		            itemStyle: {
		                normal: {
		                    color: '#ddb926'
		                }
		            }
		        },
		        {
		            name: 'Top 5',
		            type: 'effectScatter',
		            coordinateSystem: 'geo',
		            data: convertData(data.sort(function (a, b) {
		                return b.value - a.value;
		            }).slice(0, 6)),
		            symbolSize: function (val) {
		                return val[2] / 10;
		            },
		            showEffectOn: 'render',
		            rippleEffect: {
		                brushType: 'stroke'
		            },
		            hoverAnimation: true,
		            label: {
		                normal: {
		                    formatter: '{b}',
		                    position: 'right',
		                    show: true
		                }
		            },
		            itemStyle: {
		                normal: {
		                    color: '#f4e925',
		                    shadowBlur: 10,
		                    shadowColor: '#333'
		                }
		            },
		            zlevel: 1
		        }
		    ]
		};
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	
	//db2-人员各地区分布_总览
	function regionalOfStaff(){
		rosepie('regionalOfStaff');
	}
	
	function rosepie(id){
		/*var labelData = [
			{name:'北京市',value:1},{name:'天津市',value:1},{name:'上海市',value:1},{name:'重庆市',value:1}
			,{name:'河北省',value:1},{name:'山西省',value:1},{name:'辽宁省',value:1},{name:'吉林省',value:1}
			,{name:'黑龙江省',value:1},{name:'江苏省',value:1},{name:'浙江省',value:1},{name:'安徽省',value:1}
			,{name:'福建省',value:1},{name:'江西省',value:1},{name:'山东省',value:1},{name:'河南省',value:1}
			,{name:'湖北省',value:1},{name:'湖南省',value:1},{name:'广东省',value:1},{name:'海南省',value:1}
			,{name:'四川省',value:1},{name:'贵州省',value:1},{name:'云南省',value:1},{name:'陕西省',value:1}
			,{name:'甘肃省',value:1},{name:'青海省',value:1},{name:'台湾省',value:1},{name:'内蒙古自治区',value:1}
			,{name:'广西壮族自治区',value:1},{name:'西藏自治区',value:1},{name:'宁夏回族自治区',value:1},{name:'新疆维吾尔自治区',value:1}
			,{name:'香港',value:1},{name:'澳门',value:1}
		];*/
		var labelData = [
			{name:'超载',value:1},{name:'超速',value:1},{name:'偏离路线',value:1},{name:'超经营范围',value:1}
			,{name:'停车',value:1},{name:'未备案',value:1}
		];
		var data = [];
		for (var i = 0; i < 6; ++i) {
		    data.push({
		        value: Math.random() * 10 + 10 - Math.abs(i - 12),
		        name: i + ':00'
		    });
		}
		
		var option = {
		    title: {
		        text: '',
		        left: '50%',
		        textAlign: 'center',
		        top: '50%'
		    },
		    color: ['#b11106', '#2cb3f4', '#041bc1', '#3c8aeb', '#ff2d55', '#faae1d'],
		    series: [{
		        type: 'pie',
		        radius: ['60%', '92%'],
		        data: data,
		        roseType: 'area',
		        labelLine: {
		            normal: {
		                show: false
		            }
		        },
		        label: {
		            normal: {
		                show: false
		            }
		        }
		    }, {
		        type: 'pie',
		        data: labelData,
		        radius: ['35%', '60%'],
		        zlevel: -2,
		        itemStyle: {
		            normal: {
		                opacity:'1'
		            }
		        },
		        hoverAnimation:false,
		        label: {
		            normal: {
		            	textStyle:{
		            		fontSize:16
		            	},
		                position: 'inside'
		            }
		        }
		    }]
		};
		
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	};
	
	//db3-区内装货Top5_总览
	var getLoadGoodsAmount = function (){
		var chem = [{ value: 1597, name: '二甲苯' }, { value: 1188, name: '液碱' },{ value: 1144, name: '乙二醇' },
					{ value: 859, name: '液化石油气' },{ value: 432, name: '工业乙烷' }];
		var radius = ['40%','50%'];
		hollowPie(chem, '装货总量', radius, 'regionalOfloaded');
	}
	//db3-区内卸货Top5_总览
	var getUnLoadGoodsAmount = function(){
		var tank = [{ value: 1597, name: '正丁烷' }, { value: 1188, name: '丙烯' },{ value: 1144, name: '丙烯腈' },
					{ value: 859, name: '液碱' },{ value: 432, name: '甲醇' }];
		var radius = ['40%','50%'];
		hollowPie(tank, '卸货总量', radius, 'regionalOfUnloaded');
	}
	//空心饼图
	function hollowPie(data, name, radius, id){
		var legend = [];
		legend  =  (function(){
			$.each(data,function(index,val){
				legend[index] = data[index]['name']+'   '+data[index]['value']+' (吨)';
				data[index]['name'] = legend[index];
			})
	
			return legend 
		})();
		
		var total = {
			name:name,
			value:function(){
				return data[0].value+data[1].value;
			}
		}
		var option = { 
			title: [{
	            text: total.name,
	            left: '47%',
	            top: '40%',
	            textAlign: 'center',
	            textBaseline: 'middle',
	            textStyle: {
	                color: 'rgba(255, 255, 255, 0.498039)',
	                fontWeight: 'normal',
	                fontSize: 14
	            }
	        }, {
	            text: total.value(),
	            left: '48%',
	            top: '54%',
	            textAlign: 'center',
	            textBaseline: 'middle', 
	            textStyle: {
	                color: '#ffb11d',
	                fontWeight: 'normal',
	                fontSize: 24
	            }
	        }],
			tooltip: {
				trigger: 'item',
				formatter: "{a} <br/>{b}<br/> 占比(%): {d}"
			},
			color:['#b11106', '#2cb3f4', '#041bc1', '#ff2d55', '#faae1d'],
			series: [{
				name: name,
				type: 'pie',
				selectedMode: 'single',
				radius: radius,
				clockwise:false,
				center:['50%','50%'],
				label: {
					normal: {
						show:true,
						formatter:function(param){
							var name = param.name.match(/\W+\b/g);
							return name;
						},
						position: 'outside'
					}
				},
				labelLine: {
					normal: {
						show: true
					}
				},
				data: data
			}]
		}
		var chart = echarts.init(document.getElementById(id));
		chart.setOption(option);
		that.chartList.cache.push(chart);
	};
	
	//db4-区内各物流企业装卸货总量Top10_总览

	var getEntpViolationCase = function () {

				var results = [{"entpNm":"石化海达","loadAmn":"2833.343000","unLoadAmn":"0","ipPk":"1485"},{"entpNm":"镇洋化工","loadAmn":"1509.840000","unLoadAmn":"0","ipPk":"1448"},{"entpNm":"石化工贸","loadAmn":"998.600000","unLoadAmn":"0","ipPk":"7026"},{"entpNm":"镇海炼化","loadAmn":"830.180000","unLoadAmn":"0","ipPk":"1476"},{"entpNm":"恒河石化","loadAmn":"517.800000","unLoadAmn":"0","ipPk":"1459"},{"entpNm":"四明化工","loadAmn":"380.020000","unLoadAmn":"0","ipPk":"1489"},{"entpNm":"港埠公司","loadAmn":"373.000000","unLoadAmn":"0","ipPk":"5156"},{"entpNm":"孚宝仓储","loadAmn":"225.500000","unLoadAmn":"0","ipPk":"1505"},{"entpNm":"宁翔新翔","loadAmn":"222.000000","unLoadAmn":"0","ipPk":"5157"},{"entpNm":"宁远化工","loadAmn":"158.500000","unLoadAmn":"0","ipPk":"1501"}];
				var entpNm = [],
					loadAmn = [],
					unLoadAmn = [];
		
				$.each(results, function(i, u) {
					$.each(u, function(i, u) {
						switch(i){
							case 'entpNm':
							entpNm.push(u);
							break;
							case 'loadAmn':
							loadAmn.push(u);
							break;
							case 'unLoadAmn':
							unLoadAmn.push(u);
							break;
						}
					});
				});	
				entpNm.reverse();
				loadAmn.reverse();
				unLoadAmn.reverse();
				
				showEntpViolationCase(entpNm, loadAmn, unLoadAmn, 'compViolationCase');
//		})
	}

	function showEntpViolationCase(xAxisData, data1, data2, id) {
		var option = 
		{
			color:["#1bb2d8", "#99d2dd"],
			tooltip: {
				trigger: 'axis',
				axisPointer: { // 坐标轴指示器，坐标轴触发有效
					type: 'shadow' // 默认为直线，可选为：'line' | 'shadow'
				}
			},
			legend: {
				left:'right',
				align:'right',
				textStyle:{
					color:'#fff'
				},
				selectedMode:'single',
				data: ['装货总量(吨)', '卸货总量(吨)']
			},
			grid: {
				top:'30px',
				left: '0',
				right: '4%',
				bottom: '3%',
				containLabel: true
			},
			xAxis: {
				type: 'value',
				splitLine:{
					show:false
				},
				axisLine:{
					lineStyle:{
						color:'#fff'
					}
				}
			},
			yAxis: {
				type: 'category',
				axisTick: {
					alignWithLabel: true
				},
				splitLine:{
					show:false
				},
				axisLabel:{
					show:true,
					textStyle:{
						color:'rgba(90, 200, 250, 0.7)'
					}
				},
				axisLine:{
					lineStyle:{
						color:'#fff'
					}
				},
				data: xAxisData
			},
			dataZoom: [{
				type: 'inside'/*,
				yAxisIndex: [0],
				start: 100,
				end: 90*/
			}],
			series: [{
				name: '装货总量(吨)',
				type: 'bar',
				stack: '总量',
				label: {
					normal: {
						show: true,
						position: 'right',
						textStyle:{
							color:'#fff'
						}
					}
				},
				data: data1
			}, {
				name: '卸货总量(吨)',
				type: 'bar',
				stack: '总量',
				label: {
					normal: {
						show: true,
						position: 'insideRight'
					}
				},
				data: data2
			}]
		};

		var chart = echarts.init(document.getElementById(id));
		chart.setOption(option);
		that.chartList.cache.push(chart);
	}
	
	//24小时进出镇海区车辆_总览_车辆数据
	function inAndOutVec(id){	
		var option = {
		    grid: {
		        left: '1%',
		        right: '3%',
		        bottom: '3%',
		        containLabel: true
		    },
		    color:['#00acee','#d32a3a'],
		    tooltip : {
		        trigger: 'item',
		        showDelay : 0,
		        formatter : function (params) {
		            if (params.value.length > 1) {
		                return params.seriesName + ' :<br/>'
		                   + params.value[1] + '辆 ';
		            }
		            else {
		                return params.seriesName + ' :<br/>'
		                   + params.name + ' : '
		                   + params.value + '辆 ';
		            }
		        },
		        axisPointer:{
		            show: true,
		            type : 'cross',
		            lineStyle: {
		                type : 'dashed',
		                width : 1
		            }
		        }
		    },
		    legend: {
		        data: ['进镇海区','出镇海区'],
		        left: '20px',
		        textStyle:{
		        	color:'#fff'
		        }
		    },
		    xAxis : [
		        {
		            type : 'time',
		            scale:true,
		            axisLabel : {
		                formatter: function(value,index){
		               		var _date = new Date(value);

		               		return _date.getHours()+':00';
		                },
		                textStyle:{
		                	color:'#fff'
		                }
		            },
		            splitLine: {
		                lineStyle: {
		                    type: 'dashed'
		                }
		            }
		        }
		    ],
		    yAxis : [
		        {
		            type : 'value',
		            scale:true,
		            axisLabel : {
		                formatter: '{value} 辆',
		                textStyle:{
		                	color:'#fff'
		                }
		            },
		            splitLine: {
		                lineStyle: {
		                    type: 'dashed'
		                }
		            }
		        }
		    ],
		    series : [
		        {
		            name:'进镇海区',
		            type:'scatter',
		           	data:[
		           		[1494266157434, 51.6], [1494273357434, 59.0], [1494280557434, 49.2], [1494284157434, 63.0], [1494287757434, 53.6],
		                [1494269757434, 59.0], [1494276957434, 47.6], [1494291357434, 69.8], [1494291357434, 66.8], [1494294957434, 75.2],
		                [1494298557434, 55.2], [1494302157434, 54.2], [1494305757434, 62.5], [1494309357434, 42.0], [1494312957434, 50.0],
		                [1494316557434, 49.8], [1494320157434, 49.2], [1494323757434, 73.2], [1494327357434, 47.8], [1494338157434, 68.8],
		                [1494330957434, 50.6], [1494345357434, 82.5], [1494341757434, 57.2], [1494298557434, 87.8], [1494334557434, 72.8],
		                [1494291357434, 54.5], [1494305757434, 59.8], [1494334557434, 67.3], [1494291357434, 67.8], [1494298557434, 47.0],
		                [1494302157434, 46.2], [1494334557434, 55.0], [1494330957434, 83.0], [1494298557434, 54.4], [1494305757434, 45.8],
		                [1494287757434, 53.6], [1494312957434, 73.2], [1494341757434, 52.1], [1494294957434, 67.9], [1494287757434, 56.6],
		                [1494291357434, 62.3], [1494323757434, 58.5], [1494334557434, 54.5], [1494330957434, 50.2], [1494287757434, 60.3]
		           	],
		            markPoint : {
		                data : [
		                    {type : 'max', name: '最大值'},
		                    {type : 'min', name: '最小值'}
		                ]
		            },
		            markLine : {
		                data : [
		                    {type : 'average', name: '平均值'}
		                ]
		            },
		            symbol:'roundRect',
		            symbolSize:16
		        },
		        {
		            name:'出镇海区',
		            type:'scatter',
		           	data:[[1494266157434, 65.6], [1494269757434, 71.8], [1494273357434, 80.7], [1494276957434, 72.6], [1494280557434, 78.8],
		                [1494284157434, 74.8], [1494291357434, 86.4], [1494294957434, 78.4], [1494298557434, 62.0], [1494302157434, 81.6],
		                [1494305757434, 76.6], [1494287757434, 83.6], [1494309357434, 90.0], [1494312957434, 74.6], [1494316557434, 71.0],
		                [1494320157434, 79.6], [1494323757434, 93.8], [1494327357434, 70.0], [1494330957434, 72.4], [1494334557434, 85.9],
		                [1494338157434, 78.8], [1494345357434, 77.8], [1494341757434, 66.2], [1494291357434, 86.4], [1494312957434, 81.8],
		                [1494330957434, 89.6], [1494327357434, 82.8], [1494287757434, 76.4], [1494309357434, 63.2], [1494316557434, 60.9],
		                [1494273357434, 74.8], [1494276957434, 70.0], [1494327357434, 72.4], [1494330957434, 84.1], [1494327357434, 69.1],
		                [1494291357434, 59.5], [1494341757434, 67.2], [1494323757434, 61.3], [1494341757434, 68.6], [1494323757434, 80.1],
		                [1494341757434, 87.8], [1494338157434, 84.7], [1494345357434, 73.4], [1494287757434, 72.1], [1494309357434, 82.6],
		                [1494341757434, 88.7], [1494338157434, 84.1], [1494345357434, 94.1], [1494287757434, 74.9], [1494309357434, 59.1],
		                [1494327357434, 75.6], [1494341757434, 86.2], [1494338157434, 75.3], [1494327357434, 87.1], [1494338157434, 55.2],
		                [1494309357434, 57.0], [1494338157434, 61.4], [1494345357434, 76.8], [1494323757434, 86.8], [1494309357434, 72.2]
		           	],
		            markPoint : {
		                data : [
		                    {type : 'max', name: '最大值'},
		                    {type : 'min', name: '最小值'}
		                ]
		            },
		            markLine : {
		                data : [
		                    {type : 'average', name: '平均值'}
		                ]
		            },
		            symbol:'roundRect',
		            symbolSize:16
		        }
		    ]
		};

		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	//db5-24小时进出镇海区车辆_总览_车辆数据
	function getInAndOutVec(){
		inAndOutVec('inAndOutVec')
	}
	
	//db6-各时段登记点车辆_总览_车辆数据
	function registerVechicle(){
		durLine('durRegisterVehicle');
	}
	
	//各时段登记点车辆曲线
	function durLine(id){
		var option = {
		    tooltip: {
		        trigger: 'axis',
		        formatter: function (params) {
		        	var _date = new Date(params[0].value[0]);
	
		            return params[0].seriesName + ':<br/>'
		                + /(\d{1,2}\:\d{1,2}\:\d{0,2})/.exec(String(_date))[0] +' '+ params[0].value[1] + ' (辆)<br/>';
		        },
		        axisPointer: {
		            animation: false
		        }
		    },
		    color:['#d32a3a'],
		    grid: [{
		        left: '10%',
		        right: '3%',
		        top:'3%'
		    }],
		    dataZoom:{
		    	type:'inside'
		    },
		    xAxis : [
		        {
		            type : 'time',
		            boundaryGap : false,
		            axisLine: {onZero: true},
		            axisLabel:{
		                formatter: function(value,index){
		               		var _date = new Date(value);

		               		return _date.getHours()+':00';
		                },
		                textStyle:{
		                	color:'#fff'
		                }
		            },
		            axisLine:{
		            	lineStyle:{
		            		color:'#fff'
		            	}
		            },
		            splitLine:{
		            	show:false
		            }
		        }
		    ],
		    yAxis : [ 
		        {
		            type : 'value',
		            axisLabel:{
		            	textStyle:{
		            		color:'#fff'
		            	}
		            },
		            axisLine:{
		            	lineStyle:{
		            		color:'#fff'
		            	}
		            },
		            splitLine:{
		            	show:false
		            }
		        }
		    ],
		    series : [
		        {
		            name:'登记车辆',
		            type:'line',
		            symbolSize: 8,
		            hoverAnimation: false,
		            data:[
		            	[1494345600000, 12], [1494349200000, 25], [1494352800000, 18], [1494356400000, 16]
		            	,[1494360000000,26], [1494363600000, 70], [1494367200000, 18], [1494370800000, 35]
		            	,[1494374400000, 79], [1494378000000, 80], [1494381600000, 25], [1494385200000, 30]
		            	[1494388800000, 26], [1494392400000, 35], [1494396000000, 168], [1494399600000, 256]
		            	,[1494403200000, 109], [1494406800000, 134], [1494410400000, 260], [1494414000000, 77]
		            	,[1494417600000, 89], [1494421200000, 60], [1494424800000, 30], [1494428400000, 20]
		           	]
		        }
		    ]
		};
		
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	
	//道路流量图
    function convertData(sourceData) {
        return [].concat.apply([], $.map(sourceData, function (busLine, index) {
            var points = [];
            var value = busLine.shift();
            for (var i = 0; i < busLine.length; i += 2) {
                var point = [busLine[i], busLine[i + 1]];
                points.push([busLine[i], busLine[i + 1]]);
            }
            return {
                value: value,
                coords: points
            };
        }));
    }
    var mapStyle = {
                styleJson: [{
                    'featureType': 'water',
                    'elementType': 'all',
                    'stylers': {
                        'color': '#001d52'
                    }
                }, {
                    'featureType': 'land',
                    'elementType': 'all',
                    'stylers': {
                        'color': '#00192e'
                    }
                }, {
                    'featureType': 'railway',
                    'elementType': 'all',
                    'stylers': {
                        'visibility': 'off'
                    }
                }, {
                    'featureType': 'highway',
                    'elementType': 'all',
                    'stylers': {
                        'color': '#000011'
                    }
                }, {//高速公路
                    "featureType": "highway",
                    "elementType": "labels",
                    "stylers": {
                              "color": "#686868",
                              "visibility": "on"
                    }
          		}, {
                    'featureType': 'arterial',
                    'elementType': 'geometry',
                    'stylers': {
                        "color": "#27447b",
                        "visibility": "on"
                    }
                },{//城市主路
                    'featureType': 'arterial',
                    'elementType': 'labels',
                    'stylers': {
                        "color": "#686868",
                        "visibility": "on"
                    }
                }, {//兴趣点
                    "featureType": "poi",
                    "elementType": "labels",
                    "stylers": {
                              "color": "#686868",
                              "visibility": "off"
                    }
          		},{
                    'featureType': 'green',
                    'elementType': 'all',
                    'stylers': {
                        'visibility': 'off'
                    }
                }, {
                    'featureType': 'subway',
                    'elementType': 'all',
                    'stylers': {
                        'visibility': 'off'
                    }
                }, {
                    'featureType': 'manmade',
                    'elementType': 'all',
                    'stylers': {
                        'visibility': 'off'
                    }
                }, {
                    'featureType': 'local',
                    'elementType': 'all',
                    'stylers': {
                        'visibility': 'off'
                    }
                }, {
                    'featureType': 'boundary',
                    'elementType': 'all',
                    'stylers': {
                        'color': '#fefefe'
                    }
                }, {
                    'featureType': 'building',
                    'elementType': 'all',
                    'stylers': {
                        'visibility': 'off'
                    }
                },{
                    "featureType": "label",
                    "elementType": "labels",
                    "stylers": {
                              "color": "#686868",
                              "visibility": "off"
                    }
          		}]
            };

    var option = {
         bmap: {
            roam: true,
            mapStyle:mapStyle 
        },
        visualMap: {
            type: "piecewise",
            show:false,
            left: 'right',
                        pieces: [
             {min: 15}, // 不指定 max，表示 max 为无限大（Infinity）。
             {min: 12, max: 15},
             {min: 9, max: 12},
             {min: 6, max: 9},
             {min: 3, max: 6},
             {max: 3}     // 不指定 min，表示 min 为无限大（-Infinity）。
             ],
            min: 0,
            max: 12,
            splitNumber: 3,
            maxOpen: true,
            color: ['red', 'yellow', 'green']
        },
        tooltip: {
            formatter: function (params, ticket, callback) {
                return "危险品车流量指数:" + params.value;
            },
            trigger: 'item'
        },
        series: [{
            type: 'lines',
            coordinateSystem: 'bmap',
            polyline: true,
            lineStyle: {
                normal: {
                    opacity: 1,
                    width: 4
                },
                emphasis: {
                    width: 6
                }
            },
            effect: {
                show: true,
                symbolSize: 2,
                color: "white"
            }
        }]
    };

    function getRouteTraffic() {
//      $.getJSON(url, function (rawData) {
			var rawData = 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            var myChart = echarts.init(document.getElementById('traffic'));
            option.series[0].data = convertData(rawData);
            myChart.setOption(option);
            
            //获取echart中使用的bmap实例
     
            var map = null
            map = myChart.getModel().getComponent('bmap').getBMap({enableMapClick:false});
            map.disableDoubleClickZoom();
            var point = new BMap.Point(121.63685,29.994664);
      
            map.centerAndZoom(point, 13);
            var boundaries = ["121.62985, 30.074127;121.614342,30.049695;121.603742, 30.04447;121.582121, 30.045448;121.554009, 30.062082;121.538023, 30.060881;121.52901, 30.066244;121.504026, 30.058271;121.493747, 30.060368;121.490375, 30.047058;121.486419, 30.045994;121.483403, 30.038025;121.473141, 30.036884;121.473363, 30.034586;121.49254, 30.005923;121.489436, 29.993577;121.517545, 29.986929;121.533786, 29.990671;121.549748, 29.984102;121.555178, 29.967881;121.572282, 29.965128;121.574176, 29.96115;121.588676, 29.948288;121.608201, 29.945618;121.608245, 29.936831;121.688195, 29.926089;121.697782, 29.934764;121.707198, 29.951321;121.720699, 29.950687;121.732525, 29.954658;121.73868, 29.969907;121.755889, 29.977719;121.764236, 29.980001;121.772088, 29.979603;121.799044, 30.000394;121.794039, 30.003855;121.788597, 30.034502;121.754832, 30.068651;121.731593, 30.113779;121.68639, 30.098785;121.62985, 30.074127"];

            for (var i = 0; i < boundaries.length; i++) {
                var ply = new BMap.Polyline(boundaries[i], {
                    strokeWeight: 2,
                    strokeColor: "#ff0000",
                    strokeOpacity: 0.8,
                    strokeStyle: "dashed"
                }); //建立多边形覆盖物
                map.addOverlay(ply); //添加覆盖物
                ply.disableMassClear();
            }
            drawCircle(map);
            // setTimeout("getRouteTraffic()", 120 * 1000);
             showPolygon(map);
//      });
        that.chartList.cache.push(myChart);
    }

    function drawCircle(map) {
        var myIcon = new BMap.Icon("img/in_out_circle.png", new BMap.Size(80,80));
        var myIcon2 = new BMap.Icon("img/in_out_circle_1.png", new BMap.Size(80,80));
        var myIcon3 = new BMap.Icon("img/in_out_circle_2.png", new BMap.Size(80,80));
//      var url = '../../home/inout';
//      $.getJSON(url, function (data) {
		var data = [1310, 184, 273, 366, 99, 102, 185];
            var total = data[0], zbsCnt = data[1], mzCnt = data[2], rcCnt = data[3],
                bhgjCnt = data[4], dhblCnt = data[5], G328Cnt = data[6];
            var points = [];
            points.push([121.73671850182203, 29.9650528212571]);
            points.push([121.69024593003303, 29.928017880832126]);
            points.push([121.55013752463844, 29.982677515838876]);
            points.push([121.59855098785076, 29.946333159343162]);
            points.push([121.65139546557091, 29.930863193890]);
            points.push([121.61166411385983, 30.048829440601427]);
            var names = [];
            names.push("招宝山");
            names.push("清水浦");
            names.push("绕城高速");
            names.push("北环高架");
            names.push("明州大桥");
            names.push("329国道");

            for (var i = 1; i < data.length; i++) {
                var marker = new BMap.Marker(new BMap.Point(points[i - 1][0], points[i - 1][1]));  // 创建标注，为要查询的地方对应的经纬度

                var per = Math.round(data[i] / total * 100)
                marker.setLabel(_clusterLabelStyle(names[i - 1] + "</br>" + data[i] + "辆" + "</br>" + per + "%"));
                marker.setTop(true);
                if (per >= 20) {
                    marker.setIcon(myIcon2);
                }
                if (per < 20 && per >= 10) {
                    marker.setIcon(myIcon3);
                }
                if (per < 10) {
                    marker.setIcon(myIcon);
                }
                marker.setAnimation(BMAP_ANIMATION_DROP);
                map.addOverlay(marker);
            }

//      });
    }
    function _clusterLabelStyle(content) {
        var lbl = new BMap.Label(content, {offset: new BMap.Size(11, 16)});
        lbl.setStyle({
            fontSize: "12px",
            color: "white",
            marginLeft:"2px",
            fontFamily: "Microsoft YaHei",
            textAlign: "center",
            border: "solid 0px white",
            backgroundColor: ""
        });
        return lbl;
    };
    
    function  showPolygon(map){
    	
    var data = 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宁波安捷迅物流","typeId":4,"type":"【停车区】","points":[{"x":121.57536,"y":29.96655,"coordinates":[121.57536,29.96655],"type":"Point"},{"x":121.57276,"y":29.966536,"coordinates":[121.57276,29.966536],"type":"Point"},{"x":121.57269,"y":29.967615,"coordinates":[121.57269,29.967615],"type":"Point"},{"x":121.57537,"y":29.96767,"coordinates":[121.57537,29.96767],"type":"Point"},{"x":121.575424,"y":29.96659,"coordinates":[121.575424,29.96659],"type":"Point"}],"centerPoint":{"x":121.57403988562602,"y":29.967160803188733,"coordinates":[121.57403988562602,29.967160803188733],"type":"Point"},"r":140.23851016513225},{"id":1150,"name":"九龙大道(江北管辖区)","typeId":4,"type":"【停车区】","points":[{"x":121.56872,"y":29.99021,"coordinates":[121.56872,29.99021],"type":"Point"},{"x":121.56951,"y":29.99046,"coordinates":[121.56951,29.99046],"type":"Point"},{"x":121.57203,"y":29.982765,"coordinates":[121.57203,29.982765],"type":"Point"},{"x":121.57325,"y":29.9603,"coordinates":[121.57325,29.9603],"type":"Point"},{"x":121.57203,"y":29.960176,"coordinates":[121.57203,29.960176],"type":"Point"},{"x":121.57059,"y":29.98289,"coordinates":[121.57059,29.98289],"type":"Point"},{"x":121.56836,"y":29.99021,"coordinates":[121.56836,29.99021],"type":"Point"}],"centerPoint":{"x":121.57077,"y":29.975318,"coordinates":[121.57077,29.975318],"type":"Point"},"r":1689.9730693507279},{"id":1151,"name":"九龙湖收费站","typeId":4,"type":"【停车区】","points":[{"x":121.56755,"y":29.99867,"coordinates":[121.56755,29.99867],"type":"Point"},{"x":121.567535,"y":29.99631,"coordinates":[121.567535,29.99631],"type":"Point"},{"x":121.56832,"y":29.993355,"coordinates":[121.56832,29.993355],"type":"Point"},{"x":121.57328,"y":29.995996,"coordinates":[121.57328,29.995996],"type":"Point"},{"x":121.57269,"y":29.998734,"coordinates":[121.57269,29.998734],"type":"Point"},{"x":121.56813,"y":29.99917,"coordinates":[121.56813,29.99917],"type":"Point"}],"centerPoint":{"x":121.570505,"y":29.9960445,"coordinates":[121.570505,29.9960445],"type":"Point"},"r":366.0763826369491},{"id":1305,"name":"宁波镇洋化工发展有限公司","typeId":3,"type":"【装卸区】","points":[{"x":121.632484,"y":30.048965,"coordinates":[121.632484,30.048965],"type":"Point"},{"x":121.633644,"y":30.048363,"coordinates":[121.633644,30.048363],"type":"Point"},{"x":121.63299,"y":30.047491,"coordinates":[121.63299,30.047491],"type":"Point"},{"x":121.63188,"y":30.048105,"coordinates":[121.63188,30.048105],"type":"Point"}],"centerPoint":{"x":121.632762,"y":30.048234,"coordinates":[121.632762,30.048234],"type":"Point"},"r":86.19296252371048},{"id":1306,"name":"宁波镇洋化工发展有限公司","typeId":3,"type":"【装卸区】","points":[{"x":121.62955,"y":30.048937,"coordinates":[121.62955,30.048937],"type":"Point"},{"x":121.628716,"y":30.049488,"coordinates":[121.628716,30.049488],"type":"Point"},{"x":121.62958,"y":30.050547,"coordinates":[121.62958,30.050547],"type":"Point"},{"x":121.63041,"y":30.050016,"coordinates":[121.63041,30.050016],"type":"Point"}],"centerPoint":{"x":121.62953941803833,"y":30.049827658819083,"coordinates":[121.62953941803833,30.049827658819083],"type":"Point"},"r":86.46701086392348},{"id":1152,"name":"临江收费站","typeId":4,"type":"【停车区】","points":[{"x":121.65869,"y":29.948473,"coordinates":[121.65869,29.948473],"type":"Point"},{"x":121.65984,"y":29.946283,"coordinates":[121.65984,29.946283],"type":"Point"},{"x":121.6661,"y":29.950163,"coordinates":[121.6661,29.950163],"type":"Point"},{"x":121.66405,"y":29.951883,"coordinates":[121.66405,29.951883],"type":"Point"}],"centerPoint":{"x":121.66245536838547,"y":29.949053307875552,"coordinates":[121.66245536838547,29.949053307875552],"type":"Point"},"r":372.6133534939499},{"id":1245,"name":"浙能镇海发电有限责任公司","typeId":4,"type":"【停车区】","points":[{"x":121.6957,"y":29.953747,"coordinates":[121.6957,29.953747],"type":"Point"},{"x":121.69955,"y":29.94838,"coordinates":[121.69955,29.94838],"type":"Point"},{"x":121.70212,"y":29.950977,"coordinates":[121.70212,29.950977],"type":"Point"},{"x":121.704414,"y":29.952229,"coordinates":[121.704414,29.952229],"type":"Point"},{"x":121.701416,"y":29.95545,"coordinates":[121.701416,29.95545],"type":"Point"},{"x":121.69933,"y":29.954466,"coordinates":[121.69933,29.954466],"type":"Point"},{"x":121.69827,"y":29.95517,"coordinates":[121.69827,29.95517],"type":"Point"},{"x":121.69725,"y":29.954605,"coordinates":[121.69725,29.954605],"type":"Point"}],"centerPoint":{"x":121.70002118290736,"y":29.952782393992948,"coordinates":[121.70002118290736,29.952782393992948],"type":"Point"},"r":428.1493278838494},{"id":1310,"name":"阿克苏诺贝尔乙烯胺(宁波)有限公司","typeId":3,"type":"【装卸区】","points":[{"x":121.643974,"y":30.035486,"coordinates":[121.643974,30.035486],"type":"Point"},{"x":121.64378,"y":30.035776,"coordinates":[121.64378,30.035776],"type":"Point"},{"x":121.64419,"y":30.03597,"coordinates":[121.64419,30.03597],"type":"Point"},{"x":121.64439,"y":30.035706,"coordinates":[121.64439,30.035706],"type":"Point"}],"centerPoint":{"x":121.64408862254054,"y":30.035772567124184,"coordinates":[121.64408862254054,30.035772567124184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   
     for (var j = 0; j < data.length; j++) {
        if (data[j].name == "镇海区化工区") {
            continue;
        }
        var points = data[j].points;
        var polygonPoints = [];
        for (var i = 0; i < points.length; i++) {
            polygonPoints.push(new BMap.Point(points[i].coordinates[0],
                    points[i].coordinates[1]));
        }
        var polygon = new BMap.Polygon(polygonPoints);

        if (data[j].typeId == "3") {
            polygon.setFillColor("red");//充装企业
        }
        if (data[j].typeId == "4") {
            polygon.setFillColor("blue");//停车
        }
        
        polygon.setStrokeWeight(2);
        polygon.setFillOpacity(0.5);
        polygon.setStrokeStyle("dashed");
        map.addOverlay(polygon);
        polygon.disableMassClear();
    }

    }
	//第二屏图表-vechile
	//db7-报警数据_车辆数据
	var getAlarm = function(){
		var data = [{ value: 0, name: '停车报警' },{ value: 0, name: '超速报警' },{ value: 0, name: '超经营范围报警' },{ value: 0, name: '超载报警' },{ value: 0, name: '偏离路线报警' },{ value: 0, name: '未备案报警' }];
		gauge('alarm');
	}
	//报警数据仪表盘
	function gauge(id){
		
		function front(name, val, center, color) {
			var s,_max;
			_max = val==0 ?(function(){return 1})() : (function(){return val+((Math.random()*0.6+0.5)*val)})();
			s = val==0 ? (function(){return val})() : (function(){return val/_max})(),
			color[0][0] = s;

		    return {
		        "name": "指标",
		        "type": "gauge",
		        "startAngle": 180, //总的360，设置180就是半圆
		        "endAngle": 0,
		        "center": center, //整体的位置设置
		        "radius": 60,
		        "axisLine": {
		            "lineStyle": {
		                "width": 10, //柱子的宽度
		                "color": color //0.298是百分比的比例值（小数），还有对应两个颜色值
		            }
		        },
		        max:_max,
		        "axisTick": {
		            "show": false
		        },
		        "axisLabel": {
		            "show": false
		        },
		        "splitLine": {
		            "show": false
		        },
		        "pointer": {
		            "width": 6, //指针的宽度
		            "length": "80%", //指针长度，按照半圆半径的百分比
		            "color": "#2d99e2"
		        },
		        "title": {
		            "show": true,
		            "offsetCenter": [0, "35%"], //标题位置设置
		            "textStyle": { //标题样式设置
		                "color": color[0][1],
		                "fontSize": 16,
		                "fontFamily": "微软雅黑",
		                "fontWeight": "bold"
		            }
		        },
		        "detail": {
		            "show": false
		        },
		        "data": [{ //显示数据
		            "value": val,
		            "name": name+": "+val
		        }]
		    };
		}	
			
		var option = {
		    "toolbox": {
		        "show": false,
		        "feature": {
		            "mark": {
		                "show": true
		            },
		            "restore": {
		                "show": true
		            },
		            "saveAsImage": {
		                "show": true
		            }
		        }
		    },
		    "series": [
		    	front('超载报警', 0, ['18.5%','28%'],[[0, "#544bfc"], [1, "#dce3ec"]]),
		        front('超速报警', 0, ['48.5%','28%'],[[0, "#b34afc"], [1, "#dce3ec"]]),
		        front('偏离路线报警', 0, ['79.5%','28%'],[[0, "#eba954"], [1, "#dce3ec"]]),
		        front('超经营范围报警', 0, ['18.5%','75%'],[[0, "#de4444"], [1, "#dce3ec"]]),
		        front('停车报警', 0, ['48.5%','75%'],[[0, "#bd3b47"], [1, "#dce3ec"]]),
		        front('未备案报警', 0, ['79.5%','75%'],[[0, "#5793f3"], [1, "#dce3ec"]])
		    ]
		};
		
		var chart = echarts.init(document.getElementById(id));
		chart.setOption(option);
		that.chartList.cache.push(chart);
	}
	//db8-车辆监控数据_车辆数据
	function dynamicVechicle(){
		var data =[{
			value:0,
			name:'进装卸区'
		},{
			value:0,
			name:'过登记点'
		},{
			value:0,
			name:'无GPS车辆'
		},{
			value:0,
			name:'备案GPS车辆'
		}]
		hrizontalBar(data, 'violationCase');
	}
		//水平柱状图
	function hrizontalBar(data,id){
		var option = {
		    grid: [{
		        top: 10,
		        bottom:0,
		        left: 10,
		        containLabel: true
		    },],
		    tooltip:{
		    	show:true,
		    	formatter:function(param){
		    		return param['name']+':<br/>'+param['value'];
		    	}
		    },
		    xAxis: [{
		        show:false,
		        type: 'value',
		        splitLine: {
		            show: false
		        }
		    },],
		    yAxis: [{
		        type: 'category',
		        data:['无GPS车辆', '备案GPS车辆', '过登记点','进装卸区'],
		        axisLabel: {
		            interval: 0,
		            textStyle:{
		            	color:'#fff',
		            	fontSize:'16'
		            }
		        },
		        splitLine: {
		            show: false
		        },
		        axisTick:{
		            show:false,
		        },
		        axisLine:{
		            show:false,
		        }
		    }, ],
		    series: [{
		        type: 'bar',
		        z: 3,
		        label: {
		            normal: {
		                position: 'right',
		                show: true,
		                textStyle:{
		                	fontSize:'16',
		                	color:'#fff'
		                }
		            }
		        },
		        barWidth:16,
		        itemStyle:{
		        	normal:{
		        		color:['#3227ff']
		        	},
		        	emphasis:{
		        		shadowBlur:10,
		        		shadowColor:'#0012ff'
		        	}
		        },
		        data:data
		    }, {
		        type: 'bar',
		        itemStyle: {
		            normal: {
		                color: '#0b1655',
		                borderWidth:'1',
		                borderColor:'#112490'
		            }
		        },
		        tooltip:{
		        	show:false
		        },
		        barWidth:16,
		        barGap: '-100%',
		        data:[6000,6000,6000,6000]
		    }, ]
		}
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	
	//db9-今日各登记点重车总量_车辆数据
	function todayLoad(){
		var data = [{
		            value: 3473.98,
		            name: '登记点1'
		        }, {
		            value: 1684.9,
		            name: '登记点2'
		        }, {
		            value: 845.98,
		            name: '登记点3'
		        }, {
		            value: 828.86,
		            name: '登记点4'
		        }, {
		            value: 815.2,
		            name: '登记点5'
		        }, {
		            value: 810,
		            name: '登记点6'
		        }];
/*		var colors = [
		        '#ffe21d',
		        '#ffe539',
		        '#ffea5d',
		        '#ffef89',
		        '#fff3a2'
		    ];rgba(255, 226, 29, 1)*/
		 var colors = [
		 		'#1a9bd7',
		        '#00acee',
		        '#52cdd5',
		        '#79d9f1',
		        '#a7e7ff',
		        '#c8efff'
		    ];
		todayLoadAndUnload(data, colors, '#fff', '今日各登记点重车总量','todayLoad')
	}
	
	//db10-今日各登记点空车总量_车辆数据
	function todayUnload(){
		var data = [{
		            value: 258.47,
		            name: '登记点1'
		        }, {
		            value: 117.84,
		            name: '登记点2'
		        }, {
		            value: 91.51,
		            name: '登记点3'
		        }, {
		            value: 83.96,
		            name: '登记点4'
		        }, {
		            value: 60,
		            name: '登记点5'
		        }, {
		            value: 60,
		            name: '登记点6'
		        }];
		var colors = [
		 		'#1a9bd7',
		        '#00acee',
		        '#52cdd5',
		        '#79d9f1',
		        '#a7e7ff',
		        '#c8efff'
		    ];
		todayLoadAndUnload(data, colors, '#fff', '今日各登记点空车总量', 'todayUnload')
	}

	//登记点重空车总量饼图
	function todayLoadAndUnload(data, colors, fontColor, title, id){
		var option = {
			title:{
				text:title,
				top:10,
				textStyle:{
					color:'rgba(90, 200, 250, 0.7)',
					fontSize:'15',
					fontWeight:'normal'
				}
			},
		    tooltip: {
		        trigger: 'item',
		        formatter: "{a} <br/>{b} : {c} ({d}%)"
		    },
		    series: [{
		        name: '货品名称:',
		        type: 'pie',
		        radius: '65%',
		        center: ['50%', '60%'],
		        clockwise: false,
		        data: data,
		        label: {
		            normal: {
		                textStyle: {
		                    color: fontColor,
		                    fontSize: '15',
		                }
		            }
		        },
		        labelLine: {
		            normal: {
		            	length:'0',
		                show: true
		            }
		        },
		        itemStyle: {
		            normal: {
//		                borderWidth: 4,
//		                borderColor: '#ffffff',
 						shadowBlur: 5,
		                shadowOffsetX: 0,
		                shadowColor: 'rgba(0, 0, 0, 0.3)'
		            },
		            emphasis: {
		                borderWidth: 0,
		                shadowBlur: 10,
		                shadowOffsetX: 0,
		                shadowColor: 'rgba(0, 0, 0, 0.5)'
		            }
		        }
		    }],
		    color: colors
		};
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	
	/*装货总量统计*/
	function currentTotal(data, id){
		
		//限制最大值
		function maxData(){
			var maxVal = data[0]['value'],
				len = data.length,
				data2 = [];
			$.each(data,function(index,obj){
				maxVal = Math.max(maxVal,obj['value']);
			});
			
			for(var i=0;i<len;i++){
				data2.push((Math.round(maxVal+1)*30000))
			}

			return data2;
		}
		
		
		var option = {
		    grid:{
		    	left:0,
		    	right:0,
		    	bottom:'12%'
		    },
		    tooltip: {
		        trigger: "axis",
		        show:true,
		        formatter:function(param){
		        	return param[0]['name']+' :<br/>'+param[0]['value'];
		        } ,
		        axisPointer : {            
		            type : 'line',
		            lineStyle:{
		            	color:'transparent'
		            }
		        }
		    },
		    calculable: true,
		    yAxis: [{
		        type: "value",
		        boundaryGap: [0, 0],
		
		        show: false,
		        axisLine: {
		            show: false
		        },
		        splitLine: {
		            show: false
		        },
		        axisLabel:{
		        	textStyle:{
		        		color:'#fff',
		        		fontSize:'16'
		        	}
		        },
		        axisTick: {
		            show: false
		        }
		
		    }],
		    xAxis: [{
		        type: "category",
		        data: ["装货总量(吨)", "卸货总量(吨)", "易制爆总量(吨)", "易制毒总量(吨)", "填报路单数(张)"],
		        axisLine: {
		            show: false
		        },
		        splitLine: {
		            show: false
		        },
		        axisTick: {
		            show: false
		        },
		        axisLabel:{
		        	interval:false,
		        	textStyle:{
		        		color:'#fff',
		        		fontSize:'14'
		        	}
		        }
		    }],
		    series: [{
		            name: "",
		            type: "bar",
		            z: 10,
		            tooltip:{
		             show:false
		            },
		            label:{
		            	normal:{
		            		position:'outside',
		            		show:true,
		            		textStyle:{
		            			color:'#d32a3a'
		            		}
		            	}
		            },
		            barWidth:32,
		            itemStyle:{
		            	normal:{
		            		textStyle:{
		            			color:'#fff'
		            		},
		            		color:['#d32a3a']
		            	},
		            	emphasis:{
		            		shadowColor:'#ff1b31',
		            		shadowBlur:10
		            	}
		            },
		            data: data
		        }, {
		            type: "bar",
		            silent: true,
		            itemStyle: {
		                normal: {
		                    color: '#ddd'
		                }
		            },
		            tooltip:{
		             show:false
		            },
		            barWidth:32,
		            barGap: '-100%',
		            data: maxData()
		        }
		
		    ]
		};
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    chartList.cache.push(chart);
	    

	}
	//db11-货量数据:今日装货、今日卸货、易制毒、易制爆、填报路单数_车辆数据
	function mixStatistics(){
		var data = [{
			name: '',
			value: '0'
		}, {
			name: '',
			value: '0'
		}, {
			name: '',
			value: '0'
		}, {
			name: '',
			value: '0'
		}, {
			name: '',
			value: '0'
		}];
		currentTotal(data,'mixStatistics');
	}
	
	/*重点车辆数据*/
	function dangerVechicle(id){
		var option = {
		    tooltip: {
		        trigger: 'item',
		        formatter: "{a} <br/>{b}: {c} ({d}%)"
		    },
		    series: [
		        {
		            name:'重点车辆数据:',
		            type:'pie',
		            hoverAnimation: false,
		            legendHoverLink:false,
		            radius: ['58%', '65%'],
		            center:['50%','50%'],
		            color: ['#d38c32', '#0073c9'],
		            label: {
		                normal: {
		                    position: 'inner'
		                }
		            },
		            labelLine: {
		                normal: {
		                    show: false
		                },
		            },
		            tooltip: {
		               show:false,
		            },
		            data:[
		                {value:6, name:''},
		                {value:24, name:''}
		            ]
		        },
		        {
		            name:'重点车辆数据:',
		            type:'pie',
		            radius: ['65%', '90%'],
		            center:['50%','50%'],
		            color: ['#eba954', '#0092ff'],
		            label: {
		                normal: {
		                    formatter: '{b}\n{d}%',
		                    length:0
		                },
		                emphasis:{
		                	show:true
		                }
		            },
		            data:[
		                {value:6, name:'易制爆车辆'},
		                {value:24, name:'易制毒车辆'}
		         
		            ]
		        }
		    ]
		};
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	
	//db12-易制毒、易制爆车辆_车辆数据
	function getDangerVechicle(){
		dangerVechicle('dangerousVechicle')
	}
	
	//车辆区域分布
	function vechicleMap(pieData, mapData, id){
		
		var option = {
		    tooltip: {
		        trigger: 'item',
			    formatter: function(param){
			    	if(param.value){
			    		return param.name+':<br/>'+param.value+' 辆';
			    	}else{
			    		return param.name+':<br/>0 辆';
			    	}
			    }
		    },
		    series: [{
	            name:'',
	            type:'pie',
	            radius : '30%',
	            center: ['48%', '20%'],
	            data:pieData,	//传入的数据
	            roseType: 'angle',
	            color: ['#d6476c','#dd3757','#e1593f','#de4444','#d32a3a'],
	            label: {
	                normal: {
	                    textStyle: {
	                        color: 'rgba(255, 255, 255, 0.6)',
	                        fontSize:'16'
	                    }
	                }
	            },
	            labelLine: {
	                normal: {
	                    lineStyle: {
	                        color: 'rgba(255, 255, 255, 0.6)'
	                    }
	                }
	            },
	            itemStyle: {
	                normal: {
	                    shadowBlur: 200,
	                    shadowColor: 'rgba(0, 0, 0, 0.5)'
	                }
	            },
	            animationType: 'scale',
	            animationEasing: 'elasticOut',
	            animationDelay: function (idx) {
	                return Math.random() * 200;
	            }
	        },
		        {
		            name: '中国',
		            type: 'map',
		            mapType: 'china',
		            roam:true,
		            zoom:1.2,
		            center:[102.727603,39.731621],
		            label:{
		            	normal:{
		            		 show: true,
			                 position: 'top',
			                 textStyle: {
			                     fontSize: 5,
			                     color: '#fff',
			                     textShadow:'10px 10px 10px rgba(255, 0, 0, .1)'
			                 }
		            	},
			            emphasis: {
			                show: true
			            }
		            },
		            itemStyle:{
		            	normal:{
		            		borderColor:'#4880d5',
		            		areaColor:'#263ba6',
		            		color:'#fff'
		            	},
		            	emphasis:{
		            		color:'#333',
		            		areaColor:'#fffc1d'
		            	}
		            },
		            selectedMode : 'multiple',
		            data:mapData //传入的数据
		        }
		    ]
		};
		
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	}
	
	
	//db13-获取车辆区域分布_车辆数据
	function vechicleBelongs(){
		
		var pieData = [
	                {value:2980, name:'浙江'},
	                {value:1207, name:'江苏'},
	                {value:540, name:'山东'},
	                {value:447, name:'安徽'},
	                {value:289, name:'上海'}
	            ].sort(function (a, b) { return a.value - b.value});
	    var mapData = [{name:'浙江', value:0, selected:true}
	    			   ,{name:'江苏', value:0, selected:true}
	    			   ,{name:'山东', value:0, selected:true}
	    			   ,{name:'安徽', value:0, selected:true}
	    			   ,{name:'上海', value:0, selected:true}];
		vechicleMap(pieData, mapData, 'map')
	};

	//第三屏图表-goods

	//db14-化工企业装卸货总量_货物数据
	function chemEntp(){
		var legendNm = ['卸货总量(吨)', '装货总量(吨)'],
			seriesNm = ['卸货总量(吨)', '装货总量(吨)'],
			colors = ['#f1392e', '#f1392e', '#188df0', '#188df0'],
			entpNm = ["宁波中化建韩华化工储运有限公司","宁波宁兴液化储运有限公司","宁波巨化化工科技有限公司",
			"宁波市镇海宁远化工仓储有限公司","宁波市镇海飞翔液氨充装站","宁波新明化工有限公司",
			"宁波永顺精细化工有限公司","宁波越洋化工码头储运有限公司","宁波金宇天和国际物流有限公司",
			"宁波金海菱液化储运有限公司","广昌达石化","浙江省宁波市华东气体有限公司",
			"淄博大地交通运输有限公司","镇海港埠公司化工队","镇海炼化",
			"镇海登记点4","浙铁大风","宁波市镇海泰达化工有限公司",
			"充装代理账号","镇海登记点1","宁波四明化工有限公司",
			"宁波富德能源有限公司","宁波中燃船舶燃料有限公司","宁波华东二氧化碳有限责任公司",
			"宁波孚宝仓储有限公司","中外合资宁波辰菱液体化工仓储有限公司","镇海石化工业贸易有限责任公司",
			"宁波市三达化工有限公司","宁波新龙欣化学有限公司","宁波镇洋化工发展有限公司",
			"宁波新福钛白粉有限公司","宁波九龙气体制造有限公司","渤川废液处置有限公司",
			"宁波爱思开合成橡胶有限公司","恒河石化","宁波顺泽橡胶有限公司",
			"浙江鑫甬生物化工股份有限公司","宁波华宁化工储运有限公司","宁波宁翔新翔液化储运码头有限公司",
			"镇海石化海达发展有限责任公司","宁波市镇海海港液化仓储有限公司","宁波争光树脂有限公司",
			"宁波甬华树脂有限公司","宁波新福化工科技有限公司","宁波大安化学工业有限公司",
			"宁波昊德化学工业股份有限公司","宁波金海晨光化学股份有限公司","浙江杭州湾腈纶有限公司",
			"宁波甬兴化工有限公司","宁波中金石化有限公司","阿克苏诺贝尔乙烯胺（宁波）有限公司",
			"浙铁江宁"],
			loadAmount = [
						  "4696.16", "77723.78", "150286.87", "54497.96", "1263.01", "2468.7", "1761.06", "17953.53", "238.39", "90127.92"
						, "19796.46", "441.64", "33", "157910.42", "58077.9", "2262.76", "4404.22", "6540.58", "539.06", "424.8"
						, "77670.4", "66486.66", "14010.36", "23584.17", "96692.66", "55132.86", "63599.64", "1525.29", "425.85", "404548.28"
						, "530.72", "422.3", "129.2", "90", "147584.02", "23.1", "2302.03", "14958.76", "86778.3", "671545.08"
						, "8616.12", "3071.89", "0.03", "6979.59", "1019.3", "49606.36", "30157.86", "680.54", "12.44", "1475509.84"
						, "28014.88", "39709.58"],
			unloadAmount = ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "29.46", "29.54", "30", "42.7", "52.82", "60.18", "93", "116.85", "203.8", "323.34", "336", "374.9", "399.28", "437.36", "480", "653.48", "885.04", "957.59", "1034.26", "1174.98", "2022.17", "2480.64", "2558", "3277.94", "3686", "5170.87", "6130.54", "6658.07", "8348.64", "11046.88", "16359.7", "24135.38", "24754.03", "25419.38", "41464.32", "42734.22"];
		unitHoriDoubleBar('各化工企业装(卸)货总量', legendNm, seriesNm, colors, entpNm, loadAmount, unloadAmount, 'compLoadUnloadGoods');
	};
	
	function unitHoriDoubleBar(text, legendNm, seriesNm, colors, dataAxis, loadAmount, unloadAmount, id){
		
			
			var myData = dataAxis;
			var yaxisData = splitData(dataAxis);

			function splitData(data){
				var arr = [];
				var remainder = dataAxis.length%10;
				var sum = {};
				var _index = 0;
				
				for(var i=0;i<dataAxis.length;i++){
					if((i+1)%10 == 0){
						arr.push(i)
					}
				}
				if(remainder){
					arr.push(dataAxis.length-1);
				}
				
				for(var i=0,len=arr.length;i<len;i++){
					if(_index){
						sum[i+1] = data.slice(_index+1,arr[i]+1);
					}else{
						sum[i+1] = data.slice(0,arr[i]+1);
					}
					_index = arr[i];
				}
				if(remainder){
					for(var i=0,len=10-remainder;i<len;i++){
						sum[arr.length].push('');
					}
				}
				
				return sum;
			};
			
			function getPageSize(){
				var page = [];
				
				for(var i=1,len=Math.ceil(myData.length/10);i<=len;i++){
					page.push(i)
				}

				return page;
			}
			
					
			function dataFormatter(obj) {

			    var temp;
			    for (var year = 1; year <= 10; year++) {
			        var max = 0;
			        var sum = 0;
			        temp = obj[year];
			        if(!temp){
			        	continue;
			        }
			        for (var i = 0, l = temp.length; i < l; i++) {
			            max = Math.max(max, temp[i]);
			            sum += temp[i];
			            obj[year][i] = {
			                name: myData[i],
			                value: temp[i]
			            }
			        }
			        obj[year + 'max'] = Math.floor(max / 100) * 100;
			        obj[year + 'sum'] = sum;
			    }
			    
			    return obj;
			}
			
			function getOptions(){
				var options = [];
				var dataMap = {};
				var loadSum = splitData(loadAmount);
				var unloadSum = splitData(unloadAmount);
				
				var len = Math.ceil(dataAxis.length/10);
				
				dataMap.datanan = dataFormatter(loadSum);
				dataMap.datanv = dataFormatter(unloadSum);
				
				function setYAxis(data){
					var yAxis = [{}, {
						gridIndex: 1,
						type: 'category',
						inverse: true,
						position: 'left',
						axisLine: {
							show: false
						},
						axisTick: {
							show: false
						},
						axisLabel: {
							show: true,
							textStyle: {
								color: '#9D9EA0',
								fontSize: 12,
							},
					
						},
						data: null,
					}, {}];
					
					yAxis[1].data = data.map(function(value) {
							return {
								value: value,
								textStyle: {
									align: 'center',
								}
							}
						})
					return yAxis;
				}
	
				for(var i=1;i<=len;i++){

					options.push(
						{
							yAxis:setYAxis(yaxisData[i]),
					        series: [{
					            data: dataMap.datanan[i]
					        }, {
					            data: dataMap.datanv[i]
					        }, ]
			    		}
					);
				}

				return options;
			}

		
			var option = {
			    baseOption: {
			        timeline: {
			            show: true, //隐藏坐标轴
			            axisType: 'category',
			            autoPlay: true,
			            playInterval: 2000,
			            data: getPageSize(),
			            label: {
			                formatter: function(s) {
			                	return s;
			                }
			            },
			        },
		
			        legend: {
			            data: ['装货总量', '卸货总量'],
			            top: 40,
			            left: 'center',
			            textStyle: {
			                color: '#fff',
			            },
			        },
			        grid: [{
			            show: false,
			            left: '4%',
			            top: 60,
			            bottom: 30,
			            containLabel: true,
			            width: '68%',
			        }, {
			            show: false,
			            left: '50.5%',
			            top: 80,
			            bottom: 30,
			            width: '4%',
			        }, {
			            show: false,
			            right: '4%',
			            top: 60,
			            bottom: 30,
			            containLabel: true,
			            width: '68%',
			        }],
		
			        xAxis: [{
			            type: 'value',
			            inverse: true,
			            axisLine: {
			                show: false,
			            },
			            axisTick: {
			                show: false,
			            },
			            position: 'top',
			            axisLabel: {
			                show: false,
			                textStyle: {
			                    color: '#B2B2B2',
			                    fontSize: 12,
			                },
			            },
			            splitLine: {
			                show: false,
			                lineStyle: {
			                    color: '#1F2022',
			                    width: 1,
			                    type: 'solid',
			                },
			            },
			        }, {
			            gridIndex: 1,
			            show: false,
			        }, {
			            gridIndex: 2,
			            type: 'value',
			            axisLine: {
			                show: false,
			            },
			            axisTick: {
			                show: false,
			            },
			            position: 'top',
			            axisLabel: {
			                show: false,
			                textStyle: {
			                    color: '#B2B2B2',
			                    fontSize: 12,
			                },
			            },
			            splitLine: {
			                show: false,
			                lineStyle: {
			                    color: '#1F2022',
			                    width: 1,
			                    type: 'solid',
			                },
			            },
			        }, ],
			        yAxis: [{
			            type: 'category',
			            gridIndex:0,
			            inverse: true,
			            position: 'right',
			            axisLine: {
			                show: false
			            },
			            axisTick: {
			                show: false
			            },
			            axisLabel: {
			                show: false,
			                margin: 8,
			                textStyle: {
			                    color: '#9D9EA0',
			                    fontSize: 12,
			                },
		
			            },
			            data: yaxisData['1'],
			        }, {
			            gridIndex: 1,
			            type: 'category',
			            inverse: true,
			            position: 'left',
			            axisLine: {
			                show: false
			            },
			            axisTick: {
			                show: false
			            },
			            axisLabel: {
			                show: true,
			                textStyle: {
			                    color: '#9D9EA0',
			                    fontSize: 12,
			                },
		
			            },
			            data: yaxisData['1'].map(function(value, index) {
			            	return {
			                    value: value,
			                    textStyle: {
			                        align: 'center',
			                    }
			                }
			            }),
			        }, {
			            gridIndex: 2,
			            type: 'category',
			            inverse: true,
			            position: 'left',
			            axisLine: {
			                show: false
			            },
			            axisTick: {
			                show: false
			            },
			            axisLabel: {
			                show: false,
			                textStyle: {
			                    color: '#9D9EA0',
			                    fontSize: 12,
			                },
		
			            },
			            data: yaxisData['1'],
			        }, ],
			        series: [{
			            name: '装货总量',
			            type: 'bar',
			            barGap: 20,
			            barWidth: 20,
			            barMinHeight:1,
			            label: {
			                normal: {
			                    show: false,
			                },
			                emphasis: {
			                    show: true,
			                    position: 'insideRight',
			                    offset: [0, 0],
			                    textStyle: {
			                        color: '#fff',
			                        fontSize: 14,
			                    },
			                },
			            },
			            itemStyle: {
			                normal: {
			                    color: '#041bc1',
			                },
			                emphasis: {
			                    color: '#3b51f0',
			                },
			            },
			        }, {
			            name: '卸货总量',
			            type: 'bar',
			            barGap: 20,
			            barWidth: 20,
			            barMinHeight:1,
			            xAxisIndex: 2,
			            yAxisIndex: 2,
			            label: {
			                normal: {
			                    show: false,
			                },
			                emphasis: {
			                    show: true,
			                    position: 'insideLeft',
			                    offset: [0, 0],
			                    textStyle: {
			                        color: '#fff',
			                        fontSize: 14,
			                    },
			                },
			            },
			            itemStyle: {
			                normal: {
			                    color: '#b11106',
			                },
			                emphasis: {
			                    color: '#e73d31',
			                },
			            },
			        }]
			    },
			    options: getOptions()
			};
	
			var chart = echarts.init(document.getElementById(id));
			chart.setOption(option);
			that.chartList.cache.push(chart);
	};
	
	//db15-易制爆、易制毒、重点危化品_货量数据
	function hazardousChemicals(){
		var data = [83353,419673,252984];
		pie_1(data, 'hazardousChemicals')
	};
	function pie_1(data, id){
		var colors = ['#1790CF', '#1BB2D8', '#99D2DD', '#88B0BB', '#1C7099','#038CC4'],
			categories = ['易制爆','易制毒', '重点危化品'];

		var option = {
		    color: colors,
		    tooltip : {
		        trigger: 'item',
		        formatter: "{a} <br/>{b} : {c} ({d}%)"
		    },

		    series : [
		        {
		            name: '危化品类型:',
		            type: 'pie',
		            radius : '60%',
		            center: ['50%', '50%'],
		            data:[
		                {value:data[0], name:categories[0]},
		                {value:data[1], name:categories[1]},
		                {value:data[2], name:categories[2]}
		            ],
		            itemStyle: {
		                emphasis: {
		                    shadowBlur: 10,
		                    shadowOffsetX: 0,
		                    shadowColor: 'rgba(0, 0, 0, 0.5)'
		                }
		            }
		        }
		    ]
		};
		var chart = echarts.init(document.getElementById(id));
		chart.setOption(option);
		that.chartList.cache.push(chart);
	};
	
	//db16-各时段填报电子路单_货量数据
	function intervalRteplan(){
		var data1 = [
		           		[1494890597949, 0], [1494891317949, 0], [1494891437949, 0], [1494891617949, 63.0], [1494891857949, 53.6],
		                [1494892037949, 59.0], [1494892337949, 47.6], [1494892637949, 69.8], [1494892877949, 66.8], [1494893057949, 75.2],
		                [1494893897949, 55.2], [1494894137949, 54.2], [1494894377949, 62.5], [1494894917949, 42.0], [1494895217949, 50.0],
		                [1494895577949, 49.8], [1494895697949, 49.2], [1494896297949, 73.2], [1494897017949, 47.8], [1494897377949, 68.8],
		                [1494897737949, 50.6], [1494898037949, 82.5], [1494898577949, 57.2], [1494899297949, 87.8], [1494900137949, 72.8],
		                [1494900617949, 54.5], [1494901037949, 59.8], [1494901337949, 67.3], [1494901757949, 67.8], [1494902597949, 47.0],
		                [1494903137949, 46.2], [1494903737949, 55.0], [1494904097949, 83.0], [1494905237949, 54.4], [1494905717949, 45.8],
		                [1494906857949, 53.6], [1494907277949, 73.2], [1494907877949, 52.1], [1494908237949, 67.9], [1494908717949, 0],
		                [1494909557949, 62.3], [1494915977949, 0], [1494916397949, 54.5], [1494916697949, 50.2], [1494917057949, 60.3]
		           	];
		var data2 = [
		           		[1494890597949, 0], [1494891317949, 0], [1494891437949, 0], [1494891617949, 63.0], [1494891857949, 53.6],
		                [1494892037949, 59.0], [1494892337949, 47.6], [1494892637949, 69.8], [1494892877949, 66.8], [1494893057949, 75.2],
		                [1494893897949, 55.2], [1494894137949, 54.2], [1494894377949, 62.5], [1494894917949, 42.0], [1494895217949, 50.0],
		                [1494895577949, 49.8], [1494895697949, 49.2], [1494896297949, 73.2], [1494897017949, 47.8], [1494897377949, 68.8],
		                [1494897737949, 50.6], [1494898037949, 82.5], [1494898577949, 57.2], [1494899297949, 87.8], [1494900137949, 72.8],
		                [1494900617949, 54.5], [1494901037949, 59.8], [1494901337949, 67.3], [1494901757949, 67.8], [1494902597949, 47.0],
		                [1494903137949, 46.2], [1494903737949, 55.0], [1494904097949, 83.0], [1494905237949, 54.4], [1494905717949, 45.8],
		                [1494906857949, 53.6], [1494907277949, 73.2], [1494907877949, 52.1], [1494908237949, 67.9], [1494908717949, 0],
		                [1494909557949, 62.3], [1494915977949, 0], [1494916397949, 54.5], [1494916697949, 50.2], [1494917057949, 60.3]
		           	];
		function getMax(data1,data2){
			var _max1 = data1[0][1],
				_max2 = data2[0][1];
			$.each(data1, function(index,arr) {
				if(arr[1] > _max1){
					_max1 = arr[1];
				}
			});
			
			$.each(data2, function(index, arr) {
				if(arr[1] > _max2){
					_max2 = arr[1];
				}
			});
			
			return Math.round((Math.max(_max1,_max2))*3);
		}
		
		
			
		curvingLine(data1, data2, getMax(data1,data2), 'sustaLoadAndUnload');

	}
	function curvingLine(data1, data2, max, id){
		
		var option = {
			color:['#00acee','#d32a3a'],
		    tooltip : {
		        trigger: 'axis',
		        formatter: function(params) {
		        	console.log(params)
		            /*return params[0].name + '<br/>'
		                   + params[0].seriesName + ' : ' + params[0].value + ' (m^3/s)<br/>'
		                   + params[1].seriesName + ' : ' + -params[1].value + ' (mm)';*/
		        },
		        axisPointer: {
		            type: 'cross',
		            animation: false
		        }
		    },
		    legend: {
		        data:['装货量','卸货量'],
		        x: 'right',
		        textStyle:{
		        	color:'#fff'
		        }
		    },
		    dataZoom: [
		        {
		             type: 'inside',
		            realtime: true,
		            start: 30,
		            end: 70,
		            xAxisIndex: [0, 1]
		        },
		        {
		            type: 'inside',
		            realtime: true,
		            start: 30,
		            end: 70,
		            xAxisIndex: [0, 1]
		        }
		    ],
		    grid: [{
		        left: 50,
		        right: 50
		    }, {
		        left: 50,
		        right: 50
		    }],
		    xAxis : [
		        {
		            type : 'time',
		            axisLabel : {
		                formatter: function(value,index){
		               		var _date = new Date(value);

		               		return _date.getHours()+':00';
		                },
		                textStyle:{
		                	color:'#fff'
		                }
		            },
		            boundaryGap : false,
		            axisLine:{
		            	lineStyle:{
		            		color:'#0d2471'
		            	}
		            },
		            axisLabel:{
		            	textStyle:{
		            		color:'#fff'
		            	}
		            },
		            splitLine:{
		            	show:false
		            }
		        },
		        {
		            gridIndex: 1,
		            type : 'time',
		            axisLabel : {
		                formatter: function(value,index){
		               		var _date = new Date(value);
		               		
		               		return _date.getHours()+':00';
		                },
		                textStyle:{
		                	color:'#fff'
		                }
		            },
		            boundaryGap : false,
		            axisLine:{
		            	lineStyle:{
		            		color:'#0d2471'
		            	}
		            },
		            axisLabel:{
		            	textStyle:{
		            		color:'#fff'
		            	}
		            },
		            splitLine:{
		            	show:false
		            },
		            position: 'top'
		        }
		    ],
		    yAxis : [
		        {
		        	max:max,
		            name : '装货量(t)',
		            splitLine:{
		            	show:false
		            },
		            axisLine:{
		            	lineStyle:{
		            		color:'#0d2471'
		            	}
		            },
		            axisLabel:{
		            	textStyle:{
		            		color:'#fff'
		            	}
		            },
		            type : 'value'
		        },
		        {
		        	max:max,
		            gridIndex: 1,
		            name : '卸货量(t)',
		            splitLine:{
		            	show:false
		            },
		            axisLine:{
		            	lineStyle:{
		            		color:'#0d2471'
		            	}
		            },
		            axisLabel:{
		            	textStyle:{
		            		color:'#fff'
		            	}
		            },
		            type : 'value',
		            inverse: true,
		            position:'right'
		        }
		    ],
		    series : [
		        {
		            name:'装货量',
		            type:'line',
		            symbolSize: 8,
		            hoverAnimation: false,
		            data:data1
		        },
		        {
		            name:'卸货量',
		            type:'line',
		            xAxisIndex: 1,
		            yAxisIndex: 1,
		            symbolSize: 8,
		            hoverAnimation: false,
		            data: data2
		        }
		    ]
		};
	var chart = echarts.init(document.getElementById(id));
		chart.setOption(option);
		that.chartList.cache.push(chart);
	}

	//地区危化品流量_货量数据
	var scatterMapBrush = function(title, data, geoCoordMap, colors, id, u) {
			var data = data,
				geoCoordMap = geoCoordMap,
				id = id;
			var dom = document.getElementById(id);
			var chart = echarts.init(dom);
			var app = {},
				option = null;
			
			var categoryData = [],
				barData = [];
			for(var i=0;i<20;i++){
				categoryData.push(data[i].name);
				barData.push(data[i].value);
			}

			categoryData.reverse();
			barData.reverse();
			
			var initData = [categoryData,barData]
			
			var convertData = function(data) {
				var res = [];
				for(var i = 0; i < data.length; i++) {
					var geoCoord = geoCoordMap[data[i].name];
					if(geoCoord) {
						res.push({
							name: data[i].name,
							value: geoCoord.concat(data[i].value)
						});
					}
				}
				return res;
			};

			var convertedData = [
				convertData(data),
				convertData(data.sort(function(a, b) {
					return b.value - a.value;
				}).slice(0, 6))
			];

			option = {
				animation: true,
				animationDuration: 1000,
				animationEasing: 'cubicInOut',
				animationDurationUpdate: 1000,
				animationEasingUpdate: 'cubicInOut',
				title: [{
					text: '',
					left: 'center',
					textStyle: {
						color: '#fff'
					}
				}, {
					id: 'statistic',
					right: 120,
					top: 40,
					width: 100,
					textStyle: {
						color: '#fff',
						fontSize: 16
					}
				}],
				toolbox: {
					iconStyle: {
						normal: {
							borderColor: '#fff'
						},
						emphasis: {
							borderColor: '#b1e4ff'
						}
					},
					bottom:'0',
					feature:{
						restore:{
							show:true
						}
					}
				},
				brush: {
					outOfBrush: {
						color: '#abc'
					},
					brushStyle: {
						borderWidth: 2,
						color: 'rgba(0,0,0,0.2)',
						borderColor: 'rgba(0,0,0,0.5)',
					},
					seriesIndex: [0, 1],
					throttleType: 'debounce',
					throttleDelay: 300,
					geoIndex: 0
				},
				geo: {
					map: 'china',
					left: '10',
					right: '35%',
					center: [104.054508,36.699155],
					zoom: 1.0,
					label: {
						emphasis: {
							show: false
						}
					},
					roam: true,
					itemStyle: {
						normal: {
							areaColor: '#0e1c68',
							borderColor: '#111'
						},
						emphasis: {
							areaColor: '#0c1755'
						}
					}
				},
				tooltip: {
					trigger: 'item',
					formatter:function(params){
						if(Object.prototype.toString.call(params.value) == '[object Array]'){
							return params.name+'('+u+')'+':'+params.value[2];
						}else{
							return params.name+'('+u+')'+':'+params.value;
						}
						
					}
				},
				grid: {
					right: 40,
					top: 100,
					bottom: 40,
					width: '30%'
				},
				xAxis: {
					type: 'value',
					scale: true,
					position: 'top',
					boundaryGap: false,
					splitLine: {
						show: false
					},
					axisLine: {
						show: false
					},
					axisTick: {
						show: false
					},
					axisLabel: {
						margin: 2,
						textStyle: {
							color: '#aaa'
						}
					},
				},
				yAxis: {
					type: 'category',
					name: 'TOP 20',
					nameGap: 16,
					axisLine: {
						show: false,
						lineStyle: {
							color: '#ddd'
						}
					},
					axisTick: {
						show: false,
						lineStyle: {
							color: '#ddd'
						}
					},
					axisLabel: {
						interval: 0,
						textStyle: {
							color: '#ddd'
						}
					},
					data: initData[0]
				},
				series: [{
					name: '',
					type: 'scatter',
					coordinateSystem: 'geo',
					data: convertedData[0],
					symbolSize: function(val) {
						if(Math.max(val[2] / 10, 8)>2000){
							return 28
						}
						else if(Math.max(val[2] / 10, 8)>1000){
							return 22;
						}
						else if (Math.max(val[2] / 10, 8)>100){
							return 16;
						}else if(Math.max(val[2] / 10, 8)>50){
							return 10
						}else{
							return 8;
						}
					},
					label: {
						normal: {
							formatter: '{b}',
							position: 'right',
							show: false
						},
						emphasis: {
							show: true
						}
					},
					itemStyle: {
						normal: {
							color: colors[0]
						}
					}
				}, {
					name: 'Top 5',
					type: 'effectScatter',
					coordinateSystem: 'geo',
					data: convertedData[1],
					symbolSize: function(val) {
						if(Math.max(val[2] / 10, 8)>2000){
							return 28
						}
						else if(Math.max(val[2] / 10, 8)>1000){
							return 22;
						}
						else if (Math.max(val[2] / 10, 8)>100){
							return 16;
						}else if(Math.max(val[2] / 10, 8)>50){
							return 10
						}else{
							return 8;
						}
					},
					showEffectOn: 'emphasis',
					rippleEffect: {
						brushType: 'stroke'
					},
					hoverAnimation: true,
					label: {
						normal: {
							formatter: '{b}',
							position: 'right',
							show: true
						}
					},
					itemStyle: {
						normal: {
							color: colors[1],
							shadowBlur: 10,
							shadowColor: '#333'
						}
					},
					zlevel: 1
				}, {
					id: 'bar',
					zlevel: 2,
					type: 'bar',
					symbol: 'none',
					itemStyle: {
						normal: {
							color: colors[2]
						}
					},
					data: initData[1]
				}]
			};

			chart.on('brushselected', renderBrushed);

		/*	setTimeout(function() {
				myChart.dispatchAction({
					type: 'brush',
					areas: [{
						geoIndex: 0,
						brushType: 'polygon',
						coordRange: [ 
							[119.72, 34.85], [119.68, 34.85], [119.5, 34.84], [119.19, 34.77], [118.76, 34.63], [118.6, 34.6], [118.46, 34.6], [118.33, 34.57], [118.05, 34.56], [117.6, 34.56], [117.41, 34.56], [117.25, 34.56], [117.11, 34.56], [117.02, 34.56], [117, 34.56], [116.94, 34.56], [116.94, 34.55], [116.9, 34.5], [116.88, 34.44], [116.88, 34.37], [116.88, 34.33], [116.88, 34.24], [116.92, 34.15], [116.98, 34.09], [117.05, 34.06], [117.19, 33.96], [117.29, 33.9], [117.43, 33.8], [117.49, 33.75], [117.54, 33.68], [117.6, 33.65], [117.62, 33.61], [117.64, 33.59], [117.68, 33.58], [117.7, 33.52], [117.74, 33.5], [117.74, 33.46], [117.8, 33.44], [117.82, 33.41], [117.86, 33.37], [117.9, 33.3], [117.9, 33.28], [117.9, 33.27], [118.09, 32.97], [118.21, 32.7], [118.29, 32.56], [118.31, 32.5], [118.35, 32.46], [118.35, 32.42], [118.35, 32.36], [118.35, 32.34], [118.37, 32.24], [118.37, 32.14], [118.37, 32.09], [118.44, 32.05], [118.46, 32.01], [118.54, 31.98], [118.6, 31.93], [118.68, 31.86], [118.72, 31.8], [118.74, 31.78], [118.76, 31.74], [118.78, 31.7], [118.82, 31.64], [118.82, 31.62], [118.86, 31.58], [118.86, 31.55], [118.88, 31.54], [118.88, 31.52], [118.9, 31.51], [118.91, 31.48], [118.93, 31.43], [118.95, 31.4], [118.97, 31.39], [118.97, 31.37], [118.97, 31.34], [118.97, 31.27], [118.97, 31.21], [118.97, 31.17], [118.97, 31.12], [118.97, 31.02], [118.97, 30.93], [118.97, 30.87], [118.97, 30.85], [118.95, 30.8], [118.95, 30.77], [118.95, 30.76], [118.93, 30.7], [118.91, 30.63], [118.91, 30.61], [118.91, 30.6], [118.9, 30.6], [118.88, 30.54], [118.88, 30.51], [118.86, 30.51], [118.86, 30.46], [118.72, 30.18], [118.68, 30.1], [118.66, 30.07], [118.62, 29.91], [118.56, 29.73], [118.52, 29.63], [118.48, 29.51], [118.44, 29.42], [118.44, 29.32], [118.43, 29.19], [118.43, 29.14], [118.43, 29.08], [118.44, 29.05], [118.46, 29.05], [118.6, 28.95], [118.64, 28.94], [119.07, 28.51], [119.25, 28.41], [119.36, 28.28], [119.46, 28.19], [119.54, 28.13], [119.66, 28.03], [119.78, 28], [119.87, 27.94], [120.03, 27.86], [120.17, 27.79], [120.23, 27.76], [120.3, 27.72], [120.42, 27.66], [120.52, 27.64], [120.58, 27.63], [120.64, 27.63], [120.77, 27.63], [120.89, 27.61], [120.97, 27.6], [121.07, 27.59], [121.15, 27.59], [121.28, 27.59], [121.38, 27.61], [121.56, 27.73], [121.73, 27.89], [122.03, 28.2], [122.3, 28.5], [122.46, 28.72], [122.5, 28.77], [122.54, 28.82], [122.56, 28.82], [122.58, 28.85], [122.6, 28.86], [122.61, 28.91], [122.71, 29.02], [122.73, 29.08], [122.93, 29.44], [122.99, 29.54], [123.03, 29.66], [123.05, 29.73], [123.16, 29.92], [123.24, 30.02], [123.28, 30.13], [123.32, 30.29], [123.36, 30.36], [123.36, 30.55], [123.36, 30.74], [123.36, 31.05], [123.36, 31.14], [123.36, 31.26], [123.38, 31.42], [123.46, 31.74], [123.48, 31.83], [123.48, 31.95], [123.46, 32.09], [123.34, 32.25], [123.22, 32.39], [123.12, 32.46], [123.07, 32.48], [123.05, 32.49], [122.97, 32.53], [122.91, 32.59], [122.83, 32.81], [122.77, 32.87], [122.71, 32.9], [122.56, 32.97], [122.38, 33.05], [122.3, 33.12], [122.26, 33.15], [122.22, 33.21], [122.22, 33.3], [122.22, 33.39], [122.18, 33.44], [122.07, 33.56], [121.99, 33.69], [121.89, 33.78], [121.69, 34.02], [121.66, 34.05], [121.64, 34.08]
						]
					}]
				});
			}, 0);
			*/
			
			
			function renderBrushed(params) {
				var mainSeries = params.batch[0].selected[0];
				var selectedItems = [];
				var categoryData = [];
				var barData = [];
				var maxBar = 30;
				var sum = 0;
				var count = 0;

				for(var i = 0; i < mainSeries.dataIndex.length; i++) {
					var rawIndex = mainSeries.dataIndex[i];
					var dataItem = convertedData[0][rawIndex];
					var pmValue = dataItem.value[2];

					sum += pmValue;
					count++;

					selectedItems.push(dataItem);
				}

				selectedItems.sort(function(a, b) {
					return a.value[2] - b.value[2];
				});

				for(var i = 0; i < Math.min(selectedItems.length, maxBar); i++) {
					categoryData.push(selectedItems[i].name);
					barData.push(selectedItems[i].value[2]);
				}

				
				this.setOption({
					yAxis: {
						data: categoryData,
						name: 'TOP '+barData.length,
					},
					xAxis: {
						axisLabel: {
							show: !!count
						}
					},
/*							title: {
								id: 'statistic',
								text: count ? '平均: ' + (sum / count).toFixed(4) : ''
							},*/
					series: {
						id: 'bar',
						data: barData
					}
				});
			};
			
			if(option && typeof option === "object") {
				chart.setOption(option, true);
				that.chartList.cache.push(chart);
			}		
	};
	//db17-地区危化品流量_货量数据
	function dangerousChemicalFlow(){
		
		var colors = ['#ddb926','#f3f02b','#f3f02b'],
			geoCoordMap = {"宁波":[121.549792,29.868388],"常州":[119.946973,31.772752],"苏州":[120.619585,31.299379],"湖州":[120.102398,30.867198],"泉州":[118.589421,24.908853],"嘉兴":[120.750865,30.762653],"绍兴":[120.582112,29.997117],"福州":[119.306239,26.075302],"杭州":[120.153576,30.287459],"台州":[121.428599,28.661378],"南京":[118.767413,32.041544],"上海":[121.472644,31.231706],"金华":[119.649506,29.089524],"宣城":[118.757995,30.945667],"温州":[120.672111,28.000575],"扬州":[119.421003,32.393159],"南通":[120.864608,32.016212],"东营":[118.66471,37.434564],"马鞍山":[118.507906,31.689362],"舟山":[122.106863,30.016028],"衢州":[118.87263,28.941708],"无锡":[120.301663,31.574729],"泰州":[119.915176,32.484882],"淄博":[118.047648,36.814939],"潍坊":[119.107078,36.70925],"丽水":[119.921786,28.451993],"滁州":[118.316264,32.303627],"菏泽":[115.469381,35.246531],"铜陵":[117.816576,30.929935],"镇江":[119.452753,32.204402],"上饶":[117.971185,28.44442],"临沂":[118.326443,35.065282],"三明":[117.635001,26.265444],"淮安":[119.021265,33.597506],"岳阳":[113.132855,29.37029],"漳州":[117.661801,24.510897],"黄山":[118.317325,29.709239],"连云港":[119.178821,34.600018],"滨州":[118.016974,37.383542],"重庆":[106.504962,29.533155],"宁德":[119.527082,26.65924],"石家庄":[114.502461,38.045474],"广州":[113.280637,23.125178],"平顶山":[113.307718,33.735241],"安庆":[117.043551,30.50883],"盐城":[120.139998,33.377631],"新乡":[113.883991,35.302616],"珠海":[113.553986,22.224979],"日照":[119.461208,35.428588],"长沙":[112.982279,28.19409],"衡阳":[112.607693,26.900358],"抚州":[116.358351,27.98385],"北京":[116.405285,39.904989],"厦门":[118.11022,24.490474],"武汉":[114.298572,30.584355],"天津":[117.190182,39.125596],"景德镇":[117.214664,29.29256],"东莞":[113.746262,23.046237],"池州":[117.489157,30.656037],"汕头":[116.708463,23.37102],"南昌":[115.892151,28.676493],"枣庄":[117.557964,34.856424],"钦州":[108.624175,21.967127],"青岛":[120.355173,36.082982],"邢台":[114.508851,37.0682],"济南":[117.000923,36.675807],"襄阳":[112.144146,32.042426],"龙岩":[117.02978,25.091603],"吉林":[126.55302,43.843577],"渭南":[109.502882,34.499381],"烟台":[121.391382,37.539297],"南平":[118.178459,26.635627],"宜春":[114.391136,27.8043],"德州":[116.307428,37.453968],"合肥":[117.283042,31.86119],"九江":[115.992811,29.712034],"莆田":[119.007558,25.431011],"濮阳":[115.041299,35.768234],"沧州":[116.857461,38.310582],"吉安":[114.986373,27.111699],"焦作":[113.238266,35.23904],"益阳":[112.355042,28.570066],"大连":[121.618622,38.91459],"芜湖":[118.376451,31.326319],"淮北":[116.794664,33.971707],"鹰潭":[117.033838,28.238638],"成都":[104.065735,30.659462],"济宁":[116.587245,35.415393],"唐山":[118.175393,39.635113],"安阳":[114.352482,36.103442],"赣州":[114.940278,25.85097],"六安":[116.507676,31.752889],"荆州":[112.23813,30.326857],"宜昌":[111.290843,30.702636],"黄石":[115.077048,30.220074],"宿迁":[118.275162,33.963008],"红河哈尼族彝族自治州":[103.384182,23.366775],"惠州":[114.412599,23.079404],"佛山":[113.122717,23.028762],"达州":[107.502262,31.209484],"茂名":[110.919229,21.659751],"湛江":[110.364977,21.274898],"肇庆":[112.472529,23.051546],"徐州":[117.184811,34.261792],"洛阳":[112.434468,34.663041],"聊城":[115.980367,36.456013],"信阳":[114.075031,32.123274],"汕尾":[115.364238,22.774485],"韶关":[113.591544,24.801322],"贵阳":[106.713478,26.578343],"郑州":[113.665412,34.757975],"蚌埠":[117.363228,32.939667],"海口":[110.33119,20.031971],"中山":[113.382391,22.521113],"长春":[125.3245,43.886841],"新余":[114.930835,27.810834],"娄底":[112.008497,27.728136],"黔南布依族苗族自治州":[107.517156,26.258219],"潮州":[116.632301,23.661701],"株洲":[113.151737,27.835806],"张掖":[100.455472,38.932897],"伊犁哈萨克自治州":[81.317946,43.92186],"萍乡":[113.852186,27.622946],"深圳":[114.085947,22.547],"鹤壁":[114.295444,35.748236],"兴安盟":[122.070317,46.076268],"北海":[109.119254,21.473343],"商丘":[115.650497,34.437054],"荆门":[112.204251,31.03542],"运城":[111.003957,35.022778],"南宁":[108.320004,22.82402],"淮南":[117.018329,32.647574],"邯郸":[114.490686,36.612273],"泰安":[117.129063,36.194968],"定西":[104.626294,35.579578],"鄂州":[114.890593,30.396536],"吕梁":[111.134335,37.524366],"阜新":[121.648962,42.011796],"铜仁":[109.191555,27.718346],"自贡":[104.773447,29.352765],"银川":[106.278179,38.46637],"保定":[115.482331,38.867657],"榆林":[109.741193,38.290162],"衡水":[115.665993,37.735097],"兰州":[103.823557,36.058039],"大庆":[125.11272,46.590734]},
			data = [{"name":"宁波","value":"3574983.98"},{"name":"常州","value":"572793.31"},{"name":"苏州","value":"434590.86"},{"name":"湖州","value":"387220.61"},{"name":"泉州","value":"313621.56"},{"name":"嘉兴","value":"313465.19"},{"name":"绍兴","value":"270741.10"},{"name":"福州","value":"206952.42"},{"name":"杭州","value":"165841.08"},{"name":"台州","value":"130321.13"},{"name":"南京","value":"129993.80"},{"name":"上海","value":"116434.97"},{"name":"金华","value":"66925.24"},{"name":"宣城","value":"55193.50"},{"name":"温州","value":"44883.66"},{"name":"扬州","value":"34643.57"},{"name":"南通","value":"31578.00"},{"name":"东营","value":"23709.97"},{"name":"马鞍山","value":"21301.05"},{"name":"舟山","value":"17975.56"},{"name":"衢州","value":"16999.02"},{"name":"无锡","value":"14170.79"},{"name":"泰州","value":"13312.55"},{"name":"淄博","value":"12423.61"},{"name":"潍坊","value":"9337.36"},{"name":"丽水","value":"8848.09"},{"name":"滁州","value":"8188.55"},{"name":"菏泽","value":"8032.20"},{"name":"铜陵","value":"7922.70"},{"name":"镇江","value":"6730.32"},{"name":"上饶","value":"6045.23"},{"name":"临沂","value":"5852.00"},{"name":"三明","value":"4224.56"},{"name":"淮安","value":"3319.95"},{"name":"岳阳","value":"3171.38"},{"name":"漳州","value":"3140.25"},{"name":"黄山","value":"2450.47"},{"name":"连云港","value":"2233.00"},{"name":"滨州","value":"1783.00"},{"name":"重庆","value":"1733.42"},{"name":"宁德","value":"1646.98"},{"name":"石家庄","value":"1562.64"},{"name":"广州","value":"1538.47"},{"name":"平顶山","value":"1441.62"},{"name":"安庆","value":"1427.60"},{"name":"盐城","value":"1408.82"},{"name":"新乡","value":"1279.80"},{"name":"珠海","value":"1272.33"},{"name":"上海","value":"1267.38"},{"name":"日照","value":"1256.73"},{"name":"长沙","value":"1253.94"},{"name":"衡阳","value":"1229.50"},{"name":"抚州","value":"1026.08"},{"name":"北京","value":"984.50"},{"name":"厦门","value":"954.72"},{"name":"武汉","value":"834.47"},{"name":"天津","value":"743.51"},{"name":"景德镇","value":"730.28"},{"name":"东莞","value":"721.32"},{"name":"池州","value":"720.02"},{"name":"汕头","value":"685.88"},{"name":"南昌","value":"679.19"},{"name":"枣庄","value":"654.50"},{"name":"钦州","value":"649.00"},{"name":"青岛","value":"640.16"},{"name":"邢台","value":"623.86"},{"name":"济南","value":"616.07"},{"name":"襄阳","value":"540.00"},{"name":"龙岩","value":"509.35"},{"name":"吉林","value":"502.78"},{"name":"渭南","value":"454.00"},{"name":"烟台","value":"446.40"},{"name":"南平","value":"378.59"},{"name":"宜春","value":"363.41"},{"name":"德州","value":"337.40"},{"name":"合肥","value":"329.00"},{"name":"九江","value":"328.00"},{"name":"莆田","value":"325.40"},{"name":"濮阳","value":"305.95"},{"name":"沧州","value":"288.70"},{"name":"吉安","value":"274.45"},{"name":"焦作","value":"240.00"},{"name":"益阳","value":"240.00"},{"name":"大连","value":"240.00"},{"name":"芜湖","value":"230.99"},{"name":"淮北","value":"230.90"},{"name":"鹰潭","value":"200.12"},{"name":"成都","value":"187.74"},{"name":"济宁","value":"180.50"},{"name":"唐山","value":"180.30"},{"name":"安阳","value":"180.00"},{"name":"赣州","value":"179.00"},{"name":"六安","value":"173.00"},{"name":"荆州","value":"168.76"},{"name":"宜昌","value":"153.50"},{"name":"省直辖县级行政区划","value":"150.00"},{"name":"黄石","value":"147.98"},{"name":"县","value":"146.72"},{"name":"宿迁","value":"145.00"},{"name":"红河哈尼族彝族自治州","value":"140.52"},{"name":"惠州","value":"129.35"},{"name":"佛山","value":"127.60"},{"name":"达州","value":"120.00"},{"name":"茂名","value":"120.00"},{"name":"湛江","value":"120.00"},{"name":"肇庆","value":"119.05"},{"name":"徐州","value":"118.59"},{"name":"天津","value":"116.00"},{"name":"洛阳","value":"90.00"},{"name":"聊城","value":"90.00"},{"name":"信阳","value":"90.00"},{"name":"汕尾","value":"90.00"},{"name":"韶关","value":"89.90"},{"name":"贵阳","value":"89.00"},{"name":"郑州","value":"84.60"},{"name":"蚌埠","value":"84.30"},{"name":"海口","value":"82.60"},{"name":"中山","value":"62.20"},{"name":"长春","value":"62.00"},{"name":"新余","value":"60.00"},{"name":"娄底","value":"60.00"},{"name":"黔南布依族苗族自治州","value":"60.00"},{"name":"潮州","value":"60.00"},{"name":"株洲","value":"60.00"},{"name":"张掖","value":"60.00"},{"name":"伊犁哈萨克自治州","value":"60.00"},{"name":"萍乡","value":"59.47"},{"name":"深圳","value":"58.00"},{"name":"鹤壁","value":"58.00"},{"name":"兴安盟","value":"50.00"},{"name":"北海","value":"50.00"},{"name":"商丘","value":"31.72"},{"name":"荆门","value":"30.00"},{"name":"运城","value":"30.00"},{"name":"南宁","value":"30.00"},{"name":"县","value":"30.00"},{"name":"淮南","value":"30.00"},{"name":"邯郸","value":"30.00"},{"name":"泰安","value":"30.00"},{"name":"定西","value":"30.00"},{"name":"鄂州","value":"30.00"},{"name":"吕梁","value":"29.00"},{"name":"阜新","value":"27.00"},{"name":"铜仁","value":"27.00"},{"name":"自贡","value":"16.00"},{"name":"银川","value":"10.80"},{"name":"保定","value":"9.00"},{"name":"榆林","value":"8.00"},{"name":"衡水","value":"7.00"},{"name":"兰州","value":"5.20"},{"name":"大庆","value":"3.25"},{"name":"北京","value":"2.00"}];
		scatterMapBrush('各地区危化品流量统计', data, geoCoordMap, colors, 'dangerousChemicalFlow','吨');	
	}
	
	//db18-各化工企业装货排行Top10_货物数据
	function orderByLoad(){
		var data = [{
			     value: 55,
			     name: '宁波新福钛白粉有限公司'
			 }, {
			     value: 70,
			     name: '恒河石化'
			 }, {
			     value: 25,
			     name: "宁波新明化工有限公司"
			 },{
			     value: 55,
			     name: '镇海石化海达发展有限责任公司'
			 }, {
			     value: 70,
			     name: '宁波新龙欣化学有限公司'
			 }, {
			     value: 25,
			     name: "宁波市三达化工有限公司"
			 },{
			     value: 55,
			     name: '宁波金宇天和国际物流有限公司'
			 }, {
			     value: 70,
			     name: '宁波永顺精细化工有限公司'
			 }, {
			     value: 25,
			     name: "广昌达石化"
			 }, {
			     value: 25,
			     name: "淄博大地交通运输有限公司"
			 }];
		var title = '装货排行';
		pie2(data, title, 'orderByLoad');
	};
	//db19-各化工企业卸货排行Top10_货物数据
	function orderByUnload(){
		var data = [{
			     value: 260,
			     name: '宁波中化建韩华化工储运有限公司'
			 }, {
			     value: 127,
			     name: '宁波宁兴液化储运有限公司'
			 }, {
			     value: 245,
			     name: "宁波中燃船舶燃料有限公司"
			 },{
			     value: 234,
			     name: '宁波富德能源有限公司'
			 }, {
			     value: 167,
			     name: '浙铁大风'
			 }, {
			     value: 112,
			     name: "浙江杭州湾腈纶有限公司"
			 },{
			     value: 109,
			     name: '宁波中金石化有限公司'
			 }, {
			     value: 145,
			     name: '宁波九龙气体制造有限公司'
			 }, {
			     value: 25,
			     name: "广昌达石化"
			 }, {
			     value: 161,
			     name: "宁波镇洋化工发展有限公司"
			 }];
		var title = '卸货排行';
		pie2(data, title, 'orderByUnload');
	};
	
	function pie2(data, title, id){
		 var colorList = [
			     '#534bfb', '#b24afd', '#fd9c34', '#df4444', '#bc3b47'
			     , '#de3e6f','#4ab1e6','#d63bd1', '#f2c054', '#5793f3'
			 ];		 
			 
			data.sort(function(a,b){
			 	return a.value - b.value;
			})

		    echarts.util.each(data, function(item, index) {
			    item.itemStyle = {
			        normal: {
			            color: colorList[index]
			        }
			     };
			});
			
			var option = {
			     title: [{
			            text: title,
			            left: '49%',
			            top: '46%',
			            textAlign: 'center',
			            textBaseline: 'middle',
			            textStyle: {
			                color: '#fff',
			                fontWeight: 'normal',
			                fontSize: 14
			            }
			        }, {
			            text: 'Top10',
			            left: '49%',
			            top: '51%',
			            textAlign: 'center',
			            textBaseline: 'middle',
			            textStyle: {
			                color: '#fff',
			                fontWeight: 'normal',
			                fontSize: 16
			            }
			        }],
			     tooltip:{
			     	
			     },
			     series: [{
			         hoverAnimation: false, //设置饼图默认的展开样式
			         radius: ['50%', '70%'],
			         name: 'pie',
			         type: 'pie',
			         selectedMode: false,
			         selectedOffset: 16, //选中是扇区偏移量
			         clockwise: true,
			         startAngle: 90,
			         label: {
			             normal: {
			                textStyle: {
			                    fontSize: 14,
			                    color: '#999'
			                }
			             }
			         },
			         labelLine: {
			             normal: {
			                lineStyle: {
			                    color: '#999',
			
			                }
			             }
			         },
			         data: data
			     }]
			 };

		
		var chart = echarts.init(document.getElementById(id));
		chart.setOption(option);
		that.chartList.cache.push(chart);
	}
	
	//db20-今日装货top5_货物数据
	function orderByCurLoad(){
		var data =[{
			value:1870,
			name:'二甲苯'
		},{
			value:786,
			name:'液碱'
		},{
			value:1298,
			name:'石油混合二甲苯'
		},{
			value:1324,
			name:'柴油'
		},{
			value:1108,
			name:'石油苯'
		}];
		var barColor = '#f34519',
			shadowColor = '#ff4504';
		orderBar(data, barColor, shadowColor, 'orderByCurLoad');
	}
	//db21-今日卸货top5_货物数据
	function orderByCurUnload(){
		var data =[{
			value:582,
			name:'二甲基甲酰胺'
		},{
			value:1298,
			name:'液碱'
		},{
			value:1391,
			name:'醋酸乙烯'
		},{
			value:1424,
			name:'二氯甲烷'
		},{
			value:1209,
			name:'间戊二烯'
		}]
		var barColor = '#3227ff',
			shadowColor = '#0012ff';
		orderBar(data, barColor, shadowColor, 'orderByCurUnload');
	}
	//水平柱状图
	function orderBar(data, barColor, shadowColor, id){
		var option,
			max;

		data.sort(function(a,b){
			var fir = a.value,sec = b.value;
			return ((fir<sec) ? -1 :((fir > sec) ? 1:0));
		});

		
		max = function(){
			var max = [];
			$.each(data,function(){
				max.push(data[data.length-1].value*2.5)
			});
			
			return max;
		};
		
		var option = {
		    grid: [{
		        top: 10,
		        bottom:0,
		        left: 10
		    },],
		    graphic:{
		    	elements:[
		    		{
			            type: 'text',
			            z: 10,
			            left: 10,
			            top: '10',
			            style: {
			                fill: '#fff',
			                text: 'No.1 '+data[4].name,
			                font: 'bold 16px Microsoft YaHei'
			            }
			       },{
			            type: 'text',
			            z: 10,
			            left: 10,
			            top: '66',
			            style: {
			                fill: '#fff',
			                text: 'No.2 '+data[3].name,
			                font: 'bold 16px Microsoft YaHei'
			            }
			        } ,{
			            type: 'text',
			            z: 10,
			            left: 10,
			            top: '120',
			            style: {
			                fill: '#fff',
			                text: 'No.3 '+data[2].name,
			                font: 'bold 16px Microsoft YaHei'
			            }
			        } ,{
			            type: 'text',
			            z: 10,
			            left: 10,
			            top: '176',
			            style: {
			                fill: '#fff',
			                text: 'No.4 '+data[1].name,
			                font: 'bold 16px Microsoft YaHei'
			            }
			        } ,{
			            type: 'text',
			            z: 10,
			            left: 10,
			            top: '228',
			            style: {
			                fill: '#fff',
			                text: 'No.5 '+data[0].name,
			                font: 'bold 16px Microsoft YaHei'
			            }
			        } 
		    	]
		    },
		    tooltip:{
		    	show:true,
		    	formatter:function(param){
		    		console.log(param);
		    		return param['name']+':<br/>'+param['value'];
		    	}
		    },
		    xAxis: [{
		        show:false,
		        type: 'value',
		        splitLine: {
		            show: false
		        }
		    },],
		    yAxis: [{
		        type: 'category',
		        axisLabel: {
		        	show:false,
		            interval: 0,
		            textStyle:{
		            	color:'#fff',
		            	fontSize:'16'
		            }
		        },
		        splitLine: {
		            show: false
		        },
		        axisTick:{
		            show:false,
		        },
		        axisLine:{
		            show:false,
		        }
		    }],
		    series: [{
		        type: 'bar',
		        z: 3,
		        label: {
		            normal: {
		                position: 'right',
		                show: true,
		                textStyle:{
		                	fontSize:'14',
		                	color:'#fff'
		                }
		            }
		        },
		        barWidth:10,
		        itemStyle:{
		        	normal:{
		        		color:barColor
		        	},
		        	emphasis:{
		        		shadowBlur:10,
		        		shadowColor:shadowColor
		        	}
		        },
		        data:data
		    }, {
		        type: 'bar',
		        itemStyle: {
		            normal: {
		                color: '#0b1655',
		                borderWidth:'1',
		                borderColor:'#112490'
		            }
		        },
		        tooltip:{
		        	show:false
		        },
		        barWidth:10,
		        barGap: '-100%',
		        data:max()
		    }, ]
		}
		var chart = echarts.init(document.getElementById(id));
	    chart.setOption(option); 
	    that.chartList.cache.push(chart);
	};

	
	/*
	 * 保存实例
	 */

	//保存总览数据图表
	dashboardList.dashboard.push(mapView);
	dashboardList.dashboard.push(getEntpViolationCase);
	dashboardList.dashboard.push(regionalOfStaff);
	dashboardList.dashboard.push(getUnLoadGoodsAmount);
	dashboardList.dashboard.push(getLoadGoodsAmount);
	dashboardList.dashboard.push(registerVechicle);
	dashboardList.dashboard.push(getInAndOutVec);
	dashboardList.dashboard.push(getRouteTraffic);

	//保存车辆数据图表
	dashboardList.dashboard_vechicle.push(registerVechicle);
	dashboardList.dashboard_vechicle.push(getAlarm);
	dashboardList.dashboard_vechicle.push(todayLoad);
	dashboardList.dashboard_vechicle.push(todayUnload);
	dashboardList.dashboard_vechicle.push(mixStatistics);
	dashboardList.dashboard_vechicle.push(getDangerVechicle);
	dashboardList.dashboard_vechicle.push(vechicleBelongs);
	dashboardList.dashboard_vechicle.push(getInAndOutVec);
	dashboardList.dashboard_vechicle.push(dynamicVechicle);

	//保存货物数据图表
	dashboardList.dashboard_goods.push(chemEntp);
	dashboardList.dashboard_goods.push(hazardousChemicals);
	dashboardList.dashboard_goods.push(intervalRteplan);
	dashboardList.dashboard_goods.push(dangerousChemicalFlow);
	dashboardList.dashboard_goods.push(orderByLoad);
	dashboardList.dashboard_goods.push(orderByUnload);
	dashboardList.dashboard_goods.push(orderByCurLoad);
	dashboardList.dashboard_goods.push(orderByCurUnload);


	this.get = function get() {
		var d = $q.defer();

		$http.get(APP_CONST.PROPERTY.API_URL + '/dashboard')
			.success(function (data) {
				d.resolve(data);
			})
			.error(function () {
				d.reject();
			});

		return d.promise;
	};

    }
})();